{"title":"Applications in industry and technology Books","description":"","products":[{"product_id":"applied-data-analysis-for-urban-planning-and-management-9781526496997","title":"Applied Data Analysis for Urban Planning and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book showcases the different ways in which contemporary forms of data analysis are being used in urban planning and management. It highlights the emerging possibilities that city-regional governance, technology and data have for better planning and urban management - and discusses how you can apply them to your research.\u003cbr\u003e \u003cbr\u003e Including perspectives from across the globe, it’s packed with examples of good practice and helps to demystify the process of using big and open data.\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eLearn about different kinds of emergent data sources and how they are processed, visualised and presented.\u003c\/li\u003e\n\u003cli\u003eUnderstand how spatial analysis and GIS are used in city planning.\u003c\/li\u003e\n\u003cli\u003eSee examples of how contemporary data analytics methods are being applied in a variety of contexts, such as ‘smart’ city management and megacities.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eAimed at upper undergraduate and postgraduate students studying spatial analysis and planning, this timely text is the perfect companion to enable you to apply data analytics approaches in your research.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThis state of the art edited collection from leading planning experts Rae and Wong presents a tour-de-force of international new thinking on urban analytics. Thanks to being written in a clear and highly engaging style alongside vibrant illustration, this book provides an excellent reference point for those new to the field. The chapters present a novel and skillful blend of methodologically-orientated content alongside vibrant and real world applications. A highly recommended read!  -- Alex Singleton\u003cbr\u003eThis text is very much needed as a method textbook and unique in its kind, with empirical examples from all over the world that takes on and explains different methods. -- Kristina Trygg\u003cbr\u003eThis book provides a variety of interesting empirical examples that demonstrate how urban data analytics can be utilized to support spatial planning and management. -- Jing Yao\u003cbr\u003eData is only usable if it can be unlocked using analytics. This insightful collection of essays provides a gentle entry to the world of big data as it applies to planning. Essential reading for all who wish to get grips with this new science. -- Michael Batty\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction: The Promises and Pitfalls Of Data For Urban Planning - Alasdair Rae What’s New in Urban Data Analytics? - Elisabete A. Silva, Lun Liu, Heeseo Rain Kwon, Haifeng Niu, Yiqiao Chen, Jose Reis Indicators and Urban Planning: The Big Data Opportunities And Challenges - Cecilia Wong Crowdsourced Geographic Information For Urban Planning And Management - Adipandang Yudono Design and Narrative Techniques For Urban Data Visualisation - Duncan A. Smith City Dashboards And 3D Geospatial Technologies For Urban Planning And Management - Oliver Dawkins, Rob Kitchin, Gareth Young, and Tomasz Zawadzki  Data Analytics, Urban Form and Climate Change: The Urban Climate Map - Chao Ren , Edward Ng, Jason Wai Po Tse, Pak Shing Yeung, Jimmy Chi Hung Fung, Gerald Mills, Jason Ching, Benjamin Bechtel, Linda See Data Analytics and Modelling Accessibility Change Of High-Speed Rail Network Development: A Door-To-Door Approach - Lei Wang Understanding Migrant-Local Neighbourly Relations In Shanghai: Empirical Urban Research In A Data-Sparse Setting - Zheng Wang Conclusion: Beyond Analytics: Planning-Led Or Planning-Lag? - Cecilia Wong","brand":"Sage Publications Ltd","offers":[{"title":"Default Title","offer_id":48739954655575,"sku":"9781526496997","price":42.8,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781526496997.jpg?v=1720053506"},{"product_id":"healthcare-information-technology-for-cardiovascular-medicine-telemedicine-digital-health-9783030810290","title":"Healthcare Information Technology for","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis unique book comprehensively reviews how information technology is changing cardiovascular medical practice. Chapters include a wide range of topics from specific technologies and virtual care education to large system implementation.  Extensive illustrative material and specific case studies are included throughout to reinforce key concepts and enable the reader to develop an understanding of how information technology is impacting medical practice. Health equity, medicolegal ethics, and regulatory considerations are also covered. \u003c\/p\u003e   \u003ci\u003eHealthcare Information Technology for Cardiovascular Medicine: Telemedicine \u0026amp; Digital Health\u003c\/i\u003e provides a foundation for better understanding how these technologies impact cardiovascular care delivery. Its comprehensive analysis enables healthcare providers and other stakeholders to enhance clinical practice through digital health implementation.\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eAn introduction to Virtual Care Delivery: A Boots on the Ground Perspective.- The Essentials to Building a Curriculum for Virtual Care Delivery Education.- Negotiating with and Influencing the Payor Landscape for Telemedicine.- Evaluating and Promoting Digital Medical Technologies as a Cardiology Clinician.- How practicing clinicians can meaningfully interact with the Fortune 500 of Digital Health.- Digital Health is More than Wellness: Managing Physiology with Digital Interventions.- Telemedicine in the Military: A Case for Review.- Behavioral Telemedicine is an agent of Culture Change.- The Wearable Landscape:  Whose Responsibility is It?.- Trust in Artificial Intelligence:  Clinicians are Essential.- Legal Issues in Virtual Cardiology Care: Boxed Pearls for each chapter about the active legal issues in that field.- Putting it all Together.\u003cbr\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743051460951,"sku":"9783030810290","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030810290.jpg?v=1791480539"},{"product_id":"nursing-informatics-a-health-informatics-interprofessional-and-global-perspective-9783030912369","title":"Nursing Informatics: A Health Informatics,","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis new edition of the classic textbook on health informatics provides readers in healthcare practice and educational settings with an unparalleled depth of information on using informatics methods and tools. However, this new text speaks to nurses and — in a departure from earlier editions of this title — to all health professionals in direct patient care, regardless of their specialty, extending its usefulness as a textbook. This includes physicians, therapists, pharmacists, dieticians and many others. In recognition of the evolving digital environments in all healthcare settings and of interprofessional teams, the book is designed for a wide spectrum of healthcare professions including quality officers, health information managers, administrators and executives, as well as health information technology professionals such as engineers and computer scientists in health care. The book is of special interest to those who bridge the technical and caring domain, particularly nurse and medical informaticians and other informaticians working in the health sciences.\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e\u003ci\u003eNursing Informatics: An Interprofessional and Global Perspective\u003c\/i\u003e contains real-life case studies and other didactic features to illustrate the theories and principles discussed, making it an ideal resource for use within health and nursing informatics curricula at both undergraduate and graduate level, as well as for workforce development. It honors the format established by the previous editions by including a content array and questions to guide the reader. Readers are invited to look out of the box through a dedicated global perspective covering health informatics applications in different regions, countries and continents. \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction.- Health informatics: The science and practice of supporting the clinical workforce with data, information and knowledge.- TIGER: From nursing to interprofessional health informatics education.- TIGER: The impact of a global initiative on education and care.- TIGER: Ask the patient - An interprofessional perspective to engage clinicians and patients.- The 360° stakeholder perspective.- The patients' view.- The nurse's view.- The physician's view.- The pharmacist's view.- The therapist's view.- The CIO's view.- The view of health information management.- The CNIO's view.- The CMIO's view.- The CEO's view.- Data, Information and Knowledge.- Documentation and EHRs.- Information \u0026amp; knowledge management in patient care.- Quality \u0026amp; safety management.- Interoperable Systems.- Principles of health informatics.- Information \u0026amp; communication technology (applications): decision support.- Information \u0026amp; communication technology (applications): telehealth.- Information \u0026amp; communication technology (applications): smart mobile assistance.- Information Exchange and Information Sharing.- Interoperability \u0026amp; integration.- Care processes \u0026amp; IT integration.- Process management.- Interprofessional digitally enabled cooperation.- Population health and interoperability.- Data science.- Learning Healthcare System.- Data analytics, machine learning and visualisation.- Ethical and Legal Issues.- Data protection \u0026amp; security.- Cybersecurity.- Legal issues in health IT.- Ethics in health IT.- Education.- Teaching, training \u0026amp; education in healthcare.- (Learning techniques) - digital professionalism.- Global Workforce development.- Management.- Principles of management.- Strategic management.- Communication.- Leadership.- Change \u0026amp; stakeholder management.- Resource planning \u0026amp; management.- Global development - some examples.- Telehealth in developing countries.- Brasil: Clinical use of terminologies in patient care.- China: Mobile devices (NI education beyond borders).- Singapur.- Nigeria.- Japan.- Bangladesh.- Mali .- Canada.- Italy.- Conclusion.- Emergering Technologies (Augmented Reality, Machine Learning).- Outlook and Future. \u003c\/p\u003e\u003cbr\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48743057949015,"sku":"9783030912369","price":62.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030912369.jpg?v=1720063925"},{"product_id":"ai-and-big-data-in-cardiology-a-practical-guide-9783031050701","title":"AI and Big Data in Cardiology: A Practical Guide","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book provides a detailed technical overview of the use and applications of artificial intelligence (AI), machine learning and big data in cardiology. Recent technological advancements in these fields mean that there is significant gain to be had in applying these methodologies into day-to-day clinical practice. Chapters feature detailed technical reviews and highlight key current challenges and limitations, along with the available techniques to address them for each topic covered. Sample data sets are also included to provide hands-on tutorials for readers using Python-based Jupyter notebooks, and are based upon real-world examples to ensure the reader can develop their confidence in applying these techniques to solve everyday clinical problems.\u003cp\u003e\u003ci\u003eArtificial Intelligence and Big Data in Cardiology\u003c\/i\u003e systematically describes and technically reviews the latest applications of AI and big data within cardiology. It is ideal for use by the trainee and practicing cardiologist and informatician seeking an up-to-date resource on the topic with which to aid them in developing a thorough understanding of both basic concepts and recent advances in the field.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction.- AI and Machine Learning: the Basics.- From Machine Learning to Deep Learning.- Measurement and Quantification.- Diagnosis.- Outcome Prediction.- Quality Control.- AI and Decision Support.- AI in the Real World.- Analysis of Non-imaging Data.- Conclusions.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743066304855,"sku":"9783031050701","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031050701.jpg?v=1791480602"},{"product_id":"healthcare-technology-training-an-evidence-based-guide-for-improved-quality-9783031103216","title":"Healthcare Technology Training: An Evidence-based","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book is a foundational resource on how to create, implement and maintain a successful healthcare technology training program. It demonstrates the impact of efficient and effective training, and underscores the importance of high-quality content, emphasizing the need to base training on a framework of contemporary learning science to support interactive and relevant training experiences. Details of the latest educational technologies are provided along with instructions on how to implement and maintain appropriate training courses for optimal informatics outcomes.\u003cbr\u003e\u003ci\u003eHealthcare Technology Training: An Evidence-based Guide for Improved Quality\u003c\/i\u003e provides a valuable and comprehensive resource for implementing and maintaining a successful training program by providing a unique all-in-one reference tool with examples and scenarios tailored to informaticians and all healthcare users of technology.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- Purpose of this book.- Training versus education.- Development.- Why is Training Important?.- Errors.- Legal challenges.- Work is based on technology.- Data reliability.- Leadership and working with stakeholders.- Change management and communication.- Leveraging the Adult Brain.- Learning theories.- Learning science.- Neuroscience.- Generational Training Needs.- Training Development Models.- ADDIE.- Other models.- Assessment of Learners.- Designing Training for Best Results.- Developing Training.- Training Delivery.- Training Evaluation.- Assessing Competency.- Sustaining\/evaluating learning and proficiency on an ongoing basis (developing).- Ongoing Training – System Updates and Changes with Rapid Turnaround.","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743069778263,"sku":"9783031103216","price":42.74,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031103216.jpg?v=1791480616"},{"product_id":"health-information-systems-technological-and-management-perspectives-9783031123093","title":"Health Information Systems: Technological and Management Perspectives","description":"\u003cp\u003eThis heavily revised open access edition provides a thorough overview of the technologies available to assemble, manage and assess the quality of health information systems. It details a variety of scenarios in the context of both health and heath care, including where prevention and wellness are related, such as the treatment of both acute and chronic diseases. Stakeholder requirements are also described to provide perspectives for describing the architectures and management techniques associated with health information systems, enabling the reader to develop a detailed holistic overview of the subject.   \u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003ci\u003eHealth Information Systems: Technological and Management Perspectives \u003c\/i\u003efeatures a detailed overview of how information systems in health care can be managed and is a vital resource for medical informatics students seeking an up-to-date text on the topic.\u003cbr\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743071187287,"sku":"9783031123092","price":40.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031123092.jpg?v=1720063983"},{"product_id":"introduction-to-artificial-intelligence-9783031259272","title":"Introduction to Artificial Intelligence","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book aims to provide physicians and scientists with the basics of Artificial Intelligence (AI) with a special focus on medical imaging. The contents of the book provide an introduction to the main topics of artificial intelligence currently applied on medical image analysis. The book starts with a chapter explaining the basic terms used in artificial intelligence for novice readers and embarks on a series of chapters each one of which provides the basics on one AI-related topic. The second chapter presents the programming languages and available automated tools that enable the development of AI applications for medical imaging. The third chapter endeavours to analyse the main traditional machine learning techniques, explaining algorithms such as random forests, support vector machines as well as basic neural networks. The applications of those machines on the analysis of radiomics data is expanded in the fourth chapter to allow the understanding of algorithms used to build classifiers for the diagnosis of disease processes with the use of radiomics. Chapter five provides the basics of natural language processing which has revolutionized the analysis of complex radiological reports and chapter six affords a succinct introduction to convolutional neural networks which have revolutionized medical image analysis enabling automated image-based diagnosis, image enhancement (e.g. denoising), protocolling etc. The penultimate chapter provides an introduction to data preprocessing for use in the aforementioned artificial intelligence applications. The book concludes with a chapter demonstrating AI-based tools already in radiological practice while providing an insight about the foreseeable future.\u003c\/p\u003e  It will be a valuable resource for radiologists, computer scientists and postgraduate students working on medical image analysis.\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003col\u003e\n\u003cli\u003eWhat is artificial      intelligence: history and basic definitions (Manolis Koltsakis, Apostolos Karantanas)\u003c\/li\u003e\n\u003cli\u003e  Programming      languages and tools used for AI applications (George      Manikis,      Kostas Marias)  \u003c\/li\u003e\n\u003cli\u003eIntroduction to      traditional machine learning (Sara Colantonio)\u003c\/li\u003e\n\u003cli\u003eMachine learning      methods for radiomics analysis (Michail Klontzas)\u003c\/li\u003e\n\u003cli\u003eNatural Language      Processing (NLP) (Claudio Fanni)\u003c\/li\u003e\n\u003cli\u003eDeep learning      (Lefteris Trivizakis, Kostas Marias)\u003c\/li\u003e\n\u003cli\u003eData preparation      for AI purposes (Andrea Barucci)\u003c\/li\u003e\n\u003cli\u003e  Current      applications of AI in medical imaging (Gianfranco di Salle) \u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743077347671,"sku":"9783031259272","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031259272.jpg?v=1720064011"},{"product_id":"patient-safety-a-case-based-innovative-playbook-for-safer-care-9783031359323","title":"Patient Safety: A Case-based Innovative Playbook","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book aims to serve as a playbook and a guide for the creation of a safer healthcare system in the contemporary healthcare ecosystem. It meets this goal through examinations of clinical case studies that illustrate core principles of patient safety, coverage of a broad range of medical errors including medication errors, and solutions to reducing medical errors that are widely applicable in many settings.\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003eThroughout the book, the chapters offer viewpoints from healthcare leaders, accomplished practitioners, and experts in patient safety. In addition to highlighting important concepts in patient safety, the book also provides a vision of patient safety in the subsequent decade. Furthermore, it will describe what changes need to “fall into place” between now and the next 10-15 years to have that future realized. The book presents and analyzes a number of cases to illustrate the most common types of medical errors and to help readers learn the key clinical, organizational, and systems issues in patient safety.\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e\u003ci\u003ePatient Safety, 2\u003csup\u003end\u003c\/sup\u003e edition, \u003c\/i\u003eis an invaluable text for all physicians, healthcare workers, policymakers, and residents who are working towards a more equitable and effective healthcare system. \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eSection I: Introduction\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 1 - Patient safety methodologies\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 2 - Measuring patient safety \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eSection II: Concepts\u003c\/i\u003e\u003c\/b\u003e\u003cb\u003e\u003ci\u003e \t \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 3 - Patient identification\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cb\u003e\u003ci\u003eChapter 4 - Teamwork and communication \u003c\/i\u003e\u003c\/b\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 5 - Transitions of Care and Communications\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 6 - Graduate medical education and patient safety\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 7 – Information Technology and patient safety\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 8–Clinical ethics and patient safety\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 9 – Health Equity: A key aspect of patient safety \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 10 – High Reliability\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eSection III:  Examples\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 11 -Medication error\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 12 - Medication reconciliation error \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 13 - Retained surgical items\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 14 - Wrong-site surgery\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 15 - Transfusion-related hazards\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 16 - Hospital-acquired infections \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 17–Hospital falls\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 18- Pressure ulcers\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 19 - Diagnostic error\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eSection IV: Special considerations\u003c\/i\u003e\u003c\/b\u003e\u003cb\u003e\u003ci\u003e \t \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 20–Patient safety in pediatrics\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 21 - Patient safety in radiology \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 22- Patient safety in anesthesia\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 23 - Patient safety in behavioral health\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 24–Patient safety in outpatient care\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cb\u003e\u003ci\u003eChapter 25 - Patient safety in critical care\u003c\/i\u003e\u003c\/b\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 26: Patient safety in long-term care and nursing homes\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 27: Patient safety in emergency department\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eSection V: Organizational issues\u003c\/i\u003e\u003c\/b\u003e\u003cb\u003e\u003ci\u003e\t \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 28–Error disclosure\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 29–The culture of safety\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eChapter 30 - Second victim\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743083311447,"sku":"9783031359323","price":42.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031359323.jpg?v=1720064036"},{"product_id":"computational-drug-discovery-2-volumes-methods-and-applications-9783527351664","title":"Computational Drug Discovery, 2 Volumes: Methods","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eComputational Drug Discovery\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eA comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discovery\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eComputational Drug Discovery: Methods and Applications\u003c\/i\u003e (2 volume set) covers a wide range of cutting-edge computational technologies and computational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery.\u003c\/p\u003e \u003cp\u003eFurthermore, dedicated chapters that addresses the recent trends in the field of computer aided drug design, including ultra-large-scale virtual screening for hit identification, computational strategies for designing new therapeutic modalities like PROTACs and covalent inhibitors that target residues beyond cysteine are also presented.\u003c\/p\u003e \u003cp\u003eTo offer the most up-to-date information on computational methods utilized in \u003ci\u003eComputational Drug Discovery,\u003c\/i\u003e it covers chapters highlighting the use of molecular dynamics and other related methods, application of QM and QM\/MM methods in computational drug design, and techniques for navigating and visualizing the chemical space, as well as leveraging big data to drive drug discovery efforts.\u003c\/p\u003e \u003cp\u003eThe book is thoughtfully organized into eight thematic sections, each focusing on a specific computational method or technology applied to drug discovery. Authored by renowned experts from academia, pharmaceutical industry, and major drug discovery software providers, it offers an overview of the latest advances in \u003ci\u003ecomputational drug discovery\u003c\/i\u003e.\u003c\/p\u003e \u003cp\u003eKey topics covered in the book include:\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eApplication of molecular dynamics simulations and related approaches in drug discovery\u003c\/li\u003e\n\u003cli\u003eThe application of QM, hybrid approaches such as QM\/MM, and fragment molecular orbital framework for understanding protein-ligand interactions\u003c\/li\u003e\n\u003cli\u003eAdoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for \u003ci\u003ede novo\u003c\/i\u003e design, and virtual screening.\u003c\/li\u003e\n\u003cli\u003eTechniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts.\u003c\/li\u003e\n\u003cli\u003eMethods for performing ultra-large-scale virtual screening for hit identification.\u003c\/li\u003e\n\u003cli\u003eComputational strategies for designing new therapeutic models, including PROTACs and molecular glues.\u003c\/li\u003e\n\u003cli\u003eIn silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints.\u003c\/li\u003e\n\u003cli\u003eThe role of computing technologies like quantum computing and cloud computing in accelerating drug discovery\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eThis book will provide readers an overview of the latest advancements in \u003ci\u003eComputational Drug Discovery\u003c\/i\u003e and serve as a valuable resource for professionals engaged in drug discovery.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eVolume 1\u003c\/p\u003e \u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003eAcknowledgments xix\u003c\/p\u003e \u003cp\u003eAbout the Editors xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Molecular Dynamics and Related Methods in Drug Discovery 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1 Binding Free Energy Calculations in Drug Discovery 3\u003cbr\u003e\u003ci\u003eAnitade Ruiter and Chris Oostenbrink\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Gaussian Accelerated Molecular Dynamics in Drug Discovery 21\u003cbr\u003e\u003ci\u003eHung N. Do, Jinan Wang, Keya Joshi, Kushal Koirala, and Yinglong Miao\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 MD Simulations for Drug-Target(Un)binding Kinetics 45\u003cbr\u003e\u003ci\u003eSteffen Wolf\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Solvation Thermodynamics and its Applications in Drug Discovery 65\u003cbr\u003e\u003ci\u003eKuzhanthaivelan Saravanan and Ramesh K. Sistla\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Site-Identification by Ligand Competitive Saturation as a Paradigm of Co-solvent MD Methods 83\u003cbr\u003e\u003ci\u003eAsuka A. Orr and Alexander D. MacKerell Jr.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Quantum Mechanics Application for Drug Discovery 119\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6 QM\/MM for Structure-Based Drug Design: Techniques and Applications 121\u003cbr\u003e\u003ci\u003eMarc W. van der Kamp and Jaida Begum\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Recent Advances in Practical Quantum Mechanics and Mixed-QM\/MM-Driven X-Ray Crystallography and Cryogenic Electron Microscopy (Cryo-EM) and Their Impact on Structure-Based Drug Discovery 157\u003cbr\u003e\u003ci\u003eOleg Borbulevych and Lance M. Westerhoff\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 Quantum-Chemical Analyses of Interactions for Biochemical Applications 183\u003cbr\u003e\u003ci\u003eDmitri G. Fedorov\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Artificial Intelligence in Pre-clinical Drug Discovery 211\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9 The Role of Computer-Aided Drug Design in Drug Discovery 213\u003cbr\u003e\u003ci\u003eStormvander Voort, Andreas Bender, and Bart A. Westerman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 AI-Based Protein Structure Predictions and Their Implications in Drug Discovery 227\u003cbr\u003e\u003ci\u003eTahsin F. Kellici, Dimitar Hristozov, and Inaki Morao\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 Deep Learning for the Structure-Based Binding Free Energy Prediction of Small Molecule Ligands 255\u003cbr\u003e\u003ci\u003eVenkatesh Mysore, Nilkanth Patel, and Adegoke Ojewole\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 Using Artificial Intelligence for de novo Drug Design and Retrosynthesis 275\u003cbr\u003e\u003ci\u003eRohit Arora, Nicolas Brosse, Clarisse Descamps, Nicolas Devaux, Nicolas Do Huu, Philippe Gendreau, Yann Gaston-Mathé, Maud Parrot, Quentin Perron, and Hamza Tajmouati\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 Reliability and Applicability Assessment for Machine Learning Models 299\u003cbr\u003e\u003ci\u003eFabio Urbina and Sean Ekins\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eVolume 2\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003eAcknowledgments xix\u003c\/p\u003e \u003cp\u003eAbout the Editors xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV Chemical Space and Knowledge-Based Drug Discovery 315\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14 Enumerable Libraries and Accessible Chemical Space in Drug Discovery 317\u003cbr\u003e\u003ci\u003eTim Knehans, Nicholas A. Boyles, and Pieter H. Bos\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 Navigating Chemical Space 337\u003cbr\u003e\u003ci\u003eAkos Tarcsay, András Volford, Jonathan Buttrick, Jan-Constantin Christopherson, Máte Erdos, and Zoltán B. Szabó\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16 Visualization, Exploration, and Screening of Chemical Space in Drug Discovery 365\u003cbr\u003e\u003ci\u003eJosé J. Naveja, Fernanda I. Saldívar-González, Diana L. Prado-Romero, Angel J.Ruiz-Moreno, Marco Velasco-Velázquez, Ramón Alain Miranda-Quintana, and José L. Medina-Franco\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17 SAR Knowledge Bases for Driving Drug Discovery 395\u003cbr\u003e\u003ci\u003eNishanth Kandepedu, Anil Kumar Manchala, and Norman Azoulay\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18 Cambridge Structural Database (CSD)–Drug Discovery Through Data Mining \u0026amp; Knowledge-Based Tools 419\u003cbr\u003e\u003ci\u003eFrancesca Stanzione, Rupesh Chikhale, and Laura Friggeri\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart V Structure-Based Virtual Screening Using Docking 441\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e19 Structure-Based Ultra-Large Virtual Screenings 443\u003cbr\u003e\u003ci\u003eChristoph Gorgulla\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20 Community Benchmarking Exercises for Docking and Scoring 471\u003cbr\u003e\u003ci\u003eBharti Devi, Anurag TK Baidya, and Rajnish Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePartVI In Silico ADMET Modeling 495\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e21 Advances in the Application of In Silico ADMET Models–An Industry Perspective 497\u003cbr\u003e\u003ci\u003eWenyi Wang, Fjodor Melnikov, Joe Napoli, and Prashant Desai\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart VII Computational Approaches for New Therapeutic Modalities 537\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e22 Modeling the Structures of Ternary Complexes Mediated by Molecular Glues 539\u003cbr\u003e\u003ci\u003eMichael L. Drummond\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e23 Free Energy Calculations in Covalent Drug Design 561\u003cbr\u003e\u003ci\u003eLevente M. Mihalovits, György G. Ferenczy, and György M. Keseru\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart VIII Computing Technologies Driving Drug Discovery 579\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e24 Orion A Cloud-Native Molecular Design Platform 581\u003cbr\u003e\u003ci\u003eJesper Sorensen, Caitlin C. Bannan, Gaetano Calabrò, Varsha Jain, Grigory Ovanesyan, Addison Smith, She Zhang, Christopher I. Bayly, Tom A. Darden, Matthew T. Geballe, David N. LeBard, Mark McGann, Joseph B. Moon, Hari S. Muddana, Andrew Shewmaker, Jharrod LaFon, Robert W. Tolbert, A. Geoffrey Skillman, and Anthony Nicholls\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e25 Cloud-Native Rendering Platform and GPUs Aid Drug Discovery 617\u003cbr\u003e\u003ci\u003eMark Ross, Michael Drummond, Lance Westerhoff, Xavier Barbeu, Essam Metwally, Sasha Banks-Louie, Kevin Jorissen, Anup Ojah, and Ruzhu Chen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e26 The Quantum Computing Paradigm 627\u003cbr\u003e\u003ci\u003eThomas Ehmer, Gopal Karemore, and Hans Melo\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIndex 679\u003c\/p\u003e","brand":"Wiley-VCH Verlag GmbH","offers":[{"title":"Default Title","offer_id":48743126663511,"sku":"9783527351664","price":184.31,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783527351664.jpg?v=1720064227"},{"product_id":"computing-and-monitoring-in-anesthesia-and-intensive-care-recent-technological-advances-9784431682035","title":"Computing and Monitoring in Anesthesia and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eIn April of 1991, 425 partICIpants from 18 countries met in Hamamatsu in Japan for the 6th International Symposium on Computing in Anesthesia and Intensive Care (lSCAIC). The meeting was one of the most spectacular academic and fruitful in the history of ISCAIC. We had four days of fascinating presentations and discussions covering many areas of technology in Anesthesia and intensive care. New technologies were presented and old technology reexamined. The measures of success of the meeting were the excellent research material in oral and poster presentations, and state of the art reviews of the latest issues by distinguished worldwide key speakers. It must be sure that the meeting was most effective to promote and disseminate up-to-date information in these fields across the participating countries. The aim of this book is to record the exciting achievements of the meeting and extend them further among our colleagues. We hope the readers of this book will share the same excitation as well as the latest information in this speciality. Finally we would like to extend our deepest gratitude to all participants and others for the contribution to the compilation of this book. Kazuyuki Ikeda, M.D.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePatient Safety: Minimum Requirements and Advanced Techniques in Monitoring.- Minimum Monitoring Requirements (USA).- Oxygen Monitoring in Respiratory Gas.- Anesthetic Gas Monitoring.- Intraoperative Echocardiography.- CNS Monitoring.- Patient Monitoring — The European View.- Artificial Intelligence.- Artificial Neural Networks in Medical Monitoring: A Primer for Physicians.- The Use of Model and Artificial Intelligence Techniques in Patient Monitoring.- Expert System.- A Computational Architecture Using Procedural Reasoning for Decision Support in Anesthesiology.- Critical Care Decision Support Systems.- Intelligént Alarm System for Anesthesia (IASA).- A Knowledge Based Alarmer for the Postoperative Care of Cardiac Patients.- Medical Expert Systems with Physiological Models for Hemodynamical Monitoring.- Information Interpretation in a Real-Time Knowledge-Based Respiratory Monitoring System.- Computer Assisted Diagnostic Procedures in the Pain Clinic Using an Expert System.- Simulation and Modeling.- ASC: Educational Anesthesia Simulator with Expert System.- Digital Computer Simulation of Cardiovascular System in Bleeding Patient for Clinical Management.- Gas Man Simulates Correct Alveolar Plateaus and Quantifies Overpressure for Desired Alveolar Tension.- Real Time Joint of Pharmacokinetic Simulation and Monitoring in Inhalational Agents.- A 24-Hour Prediction Model of Blood Pressure Employing Endocrine System and Autonomic Nervous System.- A Simulation Analysis for Optimal Plasma Potassium Concentration during Cardiopulmonary Extracorporeal Bypass.- Eucapnic Hyperpnea Facilitates Recovery from Inhalational Anesthesia.- Anaesthetic Agent Uptake and Distribution.- A Theoretical Analysis of Optimal Control of Cardiovascular System.- Education.- A Revised Computer Program for Respiratory Care and Blood Gases.- Use of Pharmacologic Models for Teaching Anesthesiology Residents.- Automated Control.- Computer Controlled Infusion Systems.- Computer Controlled Continuous Infusion.- A Computer-Aided Controller of Fluid Infusion Rate in Post- Operative Management of Open Heart Surgery.- Computer Aided Patient (CAP) Care System.- Fluid Control Based on Fuzzy Control Algorithm.- A Simulation and a Control System of Neuromuscular Blockade.- Evaluation of a Computer Aided Propofol Infusion System.- Computerised Alfentanil Infusion in Postoperative Analgesia.- Assessment of the Value of Computerized Propofol Infusion.- Development of a Computer Controlled Infusion System.- Isocapnic Clamping with Feedback and Feed-Forward Control.- The Intelligent Control System of Physiological System Regulation.- Performance Evaluation of a Closed-Loop Sodium Nitroprusside Delivery Device during Hypotensive Anesthesia in Mongrel Dogs.- Adaptive Control of Arterial Pressure: A Supervisor can Improve Safety and Efficacy.- A Computer Control System of Applying Anesthesia Using Fuzzy Logic for Medical Operation (Categorization of anaesthesiologists thinking represented by artificial intelligence and comparison of each category).- Automatic Adjustment of Minute Volume by Carbon Dioxide Excretion with Servocontrol System.- Patient Data Management System.- Patient Data Management.- Anesthesia Records, Displays, and Alarms.- PDP System\/PC an Efficient Combination for Data Management in the Intensive Care Unit.- Data Management in the Operating Room and Intensive Care.- Computerized Monitoring and Recording System in Anesthesia and Intensive Care Medicine Using an Engineering Work Station.- Computerized Intraoperative Monitoring System at Montefiore University Hospital.- Microcomputer Management of Anesthetized Patients’ Information.- Laboratory Data Management in Our ICU.- A Computerized Graphic Monitoring System for the Management of Open Heart Surgery.- The Anesthesia Information Console: An Integrated Information System for Anesthetic Care.- Perioperative Data Management System — An Initial Report on the Intraoperative Patient Data Management System.- Automated Analog and Digital Data Logging System in Intensive Care Unit.- Clinical Process Models for Intensive Care.- Ohmeda Arkivel Patient Information Management System — An Operating Room Based Database Analysis Network.- Network.- LAN in the Automatic Collection of Postoperative Monitoring Data.- Multiple Media for Monitoring Respired Air during Anesthesia.- On-Line Data Integration System in Kanazawa Medical University Hospital.- Intraoperative Transmission of Digital Data Using Intelligent Radio Modems.- Use of an Inter-Bed Local Area Network System in Operating Room.- A System of Computer Integration of Patient Monitors in Operating Rooms.- Development of Operation System.- On-line Multi-Channel Audio-Video Signal Transmission by Optical Fiber and its Clinical Use.- Wireless Data Communication: Example of an Application for the Operating Room.- Remote Monitoring of Home Ventilation Through the Personal Paging System.- Data Base.- Anesthetic Concerns in Uncommon Diseases — A New Database.- Data-Base in Our Department Using REXAS as a Sort of LAN.- An Application of the Optical Drive System for Keeping Anesthesia Records.- An Ultrafiche Storage of Anesthesia Case, Computer Display and Search by a Scanner.- Management of Anesthesia Record Using Hyper-Text System.- Data Record.- Monitor; a Low Cost, Versatile Acquisition Program.- Time Keeper and History Maker in an Anesthesia Practice.- Clinical Usefulness of Fiberoptic D-C Coupling EKG Monitoring System.- Registration of Data during Narcosis for Scientific Evaluation.- Registration and Documentation of All Data Relevant for Narcosis.- Continuous Digital Values Recording in Hemodynamic Research.- An Application of a Data Transfer Program (Lotus Measure™) with a Pulse Oximeter.- A Personal Computerized Anesthesia Recording System — With Multiplexer and Serial Interfaced Monitors.- Automated Record Keeping.- Information Management Systems, Especially the Automatic Anesthetic Record Keeper.- The Influence of the Automatic Anesthetic Recording on Surgeon- Anesthetist Relationship.- Automatic Recording in Clinical Anaesthesia: Three Years Experience.- What do We Write on Anesthesia Records? — Analysis of Descriptive Information.- Automated Data Collection in a Simulated Respiratory Circuit.- Development of a Computer-Assisted Monitoring System for the ICU Patient Management.- Anesthesia Machine.- Anesthesia Machine Design.- Systems Engineering.- A Turning Point to Systems Engineering.- People and Machine Interface.- Anesthesia Record Keeping by Voice Recognition System.- Bar Code System Applied to Operation Center of University Hospital.- Medical Data Collection — The Human Interface Bar Code Entry, Hand Held Terminals.- Visibility of the Luminous Type Numerical Display Devices Installed the Medical Diagnostic Instruments Influenced by the Irradiation Illuminance.- A Compact TV Screen, a New Monitoring Device of Operative Field.- Quality Assurance.- Minimum Anaesthetic Peroperative Audit Dataset.- Computerized Quality Assurance Assessment of Obstetric Anesthesia Care: New Outcome Indicators.- Quality Assurance in Anesthesia Practice from the View Point of Personal Workload with Variability.- Patient Monitoring (Circulation).- Validity of Continuous Cardiac Output Measured by a Doppler Pulmonary Artery Catheter Versus Thermodilution, and Effect of Distal Angle on the Variance Between Methods.- Noninvasive Continuous Blood Pressure Measurement with the Cortronic APM 770™.- Intraoperative Myocardial Ischemia Detected by Multiple ECG Leads.- Continuous Thermographic Determination of Myocardial Ischemic Area in Dogs.- New Approach to Central Venous Pressure Monitoring.- Pressure Pulse Transmission Ratio (PPTR) of Inferior Vena Cava and the Blood Volume Status.- Online Analysis of Cardiovascular Control Factors by Power Spectral Analysis on the Heart Rate Variability during Anesthesia.- Continuous Evaluating System of Cardiac Output in Patients with Intra-Aortic Balloon Pumping.- Continuous Pulse Contour Cardiac Output during Major Abdominal Vascular Surgery.- Calculation of Pulmonary Capillary Pressure from Pulmonary Artery and Venous Wedge Pressures in Children.- Clinical Application of CCOM — Report of Post Op. Bleeding Case.- Continuous Cardiac Output Monitoring System Applying Fick’s Principle.- Continuous, On-Line, Real-Time Spectral Analysis of Heart Rate Variations during Anesthesia.- Patient Monitoring (Respiration).- End-Tidal PCO2: A Clinical Noninvasive Cardiac Output Monitor.- Ventilator Work Ratio: A Guide to the Adequacy of Weaning.- Measurement of Respiratory Work in the Breath by Breath Technique on the Continuous Respiratory Monitoring System in ICU.- Measurement of Lung Mechanics in Mechanically Ventilated Infants.- Respiratory Loop Analysis Using the Respiratory Inductance Plethysmography in Infants and Children.- Patient Monitoring (Oxygen metabolism).- Clinical Evaluation of Continuous Metabolic Monitoring in ICU.- Continuous Monitoring of Oxygen Delivery \u0026amp; Consumption.- The Precision of Oxygen Consumption and Delivery in a Computer Integrated Fick Based Monitoring System.- Simultaneous Measurements of SvO2 and SjO2 during Major Cardiac Surgeries.- Non-Invasive Monitoring of the Total Body Oxygen Uptake and Carbon Dioxide Production during Anesthesia.- Patient Monitoring (Neuromuscular junction).- A System for On-Line Analysis of Neuromuscular Blockade during Anesthesia by Use of a Personal Computer.- Patient Monitoring (Coagulation).- Problems Associated with Coagulation Monitoring during Cardiovascular Surgery.- Use of the Coagulation Monitor 512 for Reversal of Heparin-Induced Anticoagulation and the Effect of Fresh Frozen Plasma.- Patient Monitoring (Body temperature).- Evaluation of a New, Improved Deep Body Thermometry System.- Transesophageal Echocardiography.- Another Application of Transesophageal Echocardiography — Aortic Annulus Measurement.- Verification of the Tip Position of Intra-Aortic Balloon Pump Catheter by Perioperative Transesophageal Echocardiography.- Implications of Transesophageal Echocardiography as a Monitoring Device during Cardiac Anesthesia.- Pulse Oximetry.- Pulse Oximetry.- Comparison of Hypoxemia during One Lung Anesthesia with or without Pulse Oximeter.- An Effect of Unstable Hemoglobin Köln on Oximetry.- The Influence of Hematocrit and Blood Flow Conditions on Pulse Oximetry Accuracy.- Electroencephalography.- The Efficacy of Aperiodic Analysis of the Electroencephalogram (EEG) during Anesthesia.- The Lifescan™ EEG Monitor for Detection of Cerebral Ischemia in Carotid Endarterectomy: Case Reports, Prospective Study of Comparison Between Lifescan™ and Somatosensory Evoked Potential (SEP).- Intra-Operative EEG Monitoring: Monitoring of Background Rhythm and Paroxysmal Activity.- Evoked Potential.- Knowledge-Based Automatic Flash Evoked Potential Recognition System.- Automated Flash Visual Evoked Potential Monitoring: Comparison with Intracranial Pressure.- Gastrointestinal Tissue pH Monitoring.- New Objetives in the Resuscitation of the Critically III.- Studies on Prediction and Prevention of Stress Ulcer Using Tonometry, Reflectance Spectrophotometry and Oxygenated Perfluorochemicals.- Near Infrared Spectroscopy.- Experimental Study of Noninvasive Tissue Oxygenation Monitoring with Near-Infrared Spectroscopy.- Noninvasive Monitoring of Tissue Oxygenation by Near Infrared Spectroscopy.- Gas Analyzer.- A Case Study of Characterization and Continuous Monitoring of Trace Odorants in the Shinshu University School of Medicine Hospital ICU Room Air.- Simultaneous Measurement of 5 Anesthetic and 3 Respiratory Gases with Quadrupole Mass Spectrometer and Simple Technique of Calibration.- Miscellaneous.- A Request for Native English Speakers from Non-Natives.- Development and Application of Apple II Microcomputer System in Anesthesia.- Intraoperative Assessment of the Corrective Surgery of Tetralogy of Fallot.- Human Factors Affecting the Accuracy of Hand-Written Arterial Pressure Record.- An Assessment of Frequency Characteristics of the Fluid-Filled Catheter-Manometer System.- Multiple Monitors of Hemodynamics and Oxygenation during High Dose Thiopental.- A Ventilator to Create a Ventilatory Pattern Which Harmonizes with a Patient.- Estimation for Maximum Dosage of Lidocaine in Interpleural Block.- The Application of SALS (Statistical Analysis with the Least Square) to Michaelis-Menten Pharmacokinetics of Phenytoin.- Comments.- Author Index.","brand":"Springer Verlag, Japan","offers":[{"title":"Default Title","offer_id":48743178338647,"sku":"9784431682035","price":999.99,"currency_code":"GBP","in_stock":false}]},{"product_id":"ehealth-care-and-quality-of-life-9788847052529","title":"eHealth, Care and Quality of Life","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe debate over eHealth is alive as never before. Supporters suggest that it will result in dramatic innovations in healthcare, including a giant leap towards patient-centered care, new opportunities to improve effectiveness, and enhanced wellness and quality of life. In addition, the growing market value of investments in health IT suggests that eHealth can offer at least a partial cure for the current economic stagnation.  Detractors counter these arguments by claiming that eHealth has already failed: the UK Department of Health has shut down the NHS National Program for IT, Google has discontinued its Health flagship, and doubts have arisen over privacy safeguards for both patients and medical professionals. This book briefly explains why caregivers, professionals, technicians, patients, politicians, and others should all consider themselves stakeholders in eHealth. It offers myth-busting responses to some ill-considered arguments from both sides of the trench, in the process allowing a fresh look at eHealth. In addition, it describes how the technical failures of previous eHealth systems can be avoided, examines the legal basis of eHealth, and discusses associated ethical issues.​  \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e1 Introduction: The debate over eHealth.- 2 Definitions of eHealth.- 3 An introduction to the technological basis of eHealth.- 4 eHealth and me: The implications of the Net for health care relationships.- 5 Legally eHealth.- 6 EU support to eHealth and cost-benefits.- 7 No (e)Health without (e)Research.- 8 eHealth policy.- 9 The high-tech face of eHealth.- 10 The data-driven revolution of healthcare.- 11 eEducation and eHealth: a call for action.- 12 Conclusions.\u003c\/p\u003e","brand":"Springer Verlag","offers":[{"title":"Default Title","offer_id":48743215006039,"sku":"9788847052529","price":42.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9788847052529.jpg?v=1720064617"},{"product_id":"adobe-indesign-classroom-in-a-book-2023-release-9780137967445","title":"Adobe InDesign Classroom in a Book 2023 release","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eGetting Started\u003c\/p\u003e \u003cp\u003e1 Introducing the Workspace\u003c\/p\u003e \u003cp\u003e2 Getting to Know InDesign\u003c\/p\u003e \u003cp\u003e3 Setting Up a Document and Working with Pages\u003c\/p\u003e \u003cp\u003e4 Working with Objects\u003c\/p\u003e \u003cp\u003e5 Working with Color\u003c\/p\u003e \u003cp\u003e6 Flowing Text\u003c\/p\u003e \u003cp\u003e7 Editing Text \u003c\/p\u003e \u003cp\u003e8 Working with Typography\u003c\/p\u003e \u003cp\u003e9 Working with Styles\u003c\/p\u003e \u003cp\u003e10 Creating Tables\u003c\/p\u003e \u003cp\u003e11 Importing and Modifying Graphics\u003c\/p\u003e \u003cp\u003e12 Working with Transparency\u003c\/p\u003e \u003cp\u003e13 Printing and Exporting\u003c\/p\u003e \u003cp\u003e14 Creating Adobe PDF Files with Form Fields\u003c\/p\u003e \u003cp\u003e15 Creating a Fixed-Layout Epub\u003c\/p\u003e","brand":"Pearson Education (US)","offers":[{"title":"Default Title","offer_id":48864177193303,"sku":"9780137967445","price":999.99,"currency_code":"GBP","in_stock":false}]},{"product_id":"developing-medical-apps-and-mhealth-interventions-a-guide-for-researchers-physicians-and-informaticians-9783030475017","title":"Developing Medical Apps and mHealth","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book provides a practically applicable guide to designing evidence-based medical apps and mHealth interventions. It features detailed guidance and case studies where applicable on the best practices and available techniques from both technological (platform technologies, toolkits, sensors) and research perspectives. This approach enables the reader to develop a deep understanding of how to collect the appropriate data and work with users to build a user friendly app for their target audience. Information on how researchers and designers can communicate their intentions with a variety of stakeholders including medical practitioners, developers and researchers to ensure the best possible decisions are made during the development process to produce an app of optimal quality that also considers usability.\u003c\/p\u003e   \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e\u003ci\u003eDeveloping Medical Apps and mHealth Interventions\u003c\/i\u003e comprehensively covers the development of medical and health apps for researchers, informaticians and physicians, and is a valuable resource for the experienced professional and trainee seeking a text on how to develop user friendly medical apps.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction to mHealth.- Project development methodologies, management and data modelling.- Designing an mHealth intervention.- Application development and testing.- Data collection, storage and security.- Feeding back information to patients and users with visualisations.- Usability testing and deployment.- Designing an mHealth evaluation.- Data analysis methods.\u003cbr\u003e\u003cbr\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":48869361320279,"sku":"9783030475017","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030475017.jpg?v=1791480489"},{"product_id":"prognostic-models-in-healthcare-ai-and-statistical-approaches-9789811920561","title":"Prognostic Models in Healthcare: AI and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints.  Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e​Segmentation of White Blood Cells in Acute Myeloid Leukaemia Microscopic Images: The Current Challenges and Future Solutions.- Computer Vision Based Prognostic Modeling of COVID-19 from Medical Imaging.- Skin Lesion Classification From Dermoscopic Images with Deep Residual Network based Fused Pigmented Deep Feature Extraction and Entropy Based Best Features Selection Approach.- Computer Vision Technologies for COVID-19 Prediction, Diagnosis and Prevention.- Health monitoring methods in heart diseases based on data mining approach, a directional survey.- Machine learning based brain diseases diagnosing in electroencephalogram signals, Alzheimer and Parkinson's.- Skin Lesion Detection Using Recent Machine Learning Approaches.- Improving monitoring and controling parameters for Alzheimer's patients based on IoT.-  A Novel Method for Lung Segmentation of Chest with Convolutional Neural Network.- Leukemia Detection Using Machine and Deep Learning Through Microscopic Images-A Review.","brand":"Springer Verlag, Singapore","offers":[{"title":"Default Title","offer_id":48869596791127,"sku":"9789811920561","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9789811920561.jpg?v=1791483992"},{"product_id":"adobe-animate-classroom-in-a-book-2021-release-9780136887423","title":"Adobe Animate Classroom in a Book 2021 release","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eGetting Started    \u003cbr\u003e    1 Getting Acquainted    \u003cbr\u003e    2 Creating Graphics and Text    \u003cbr\u003e    3 Animating Symbols    \u003cbr\u003e    4 Advanced Motion Tweening    \u003cbr\u003e    5 Character Animation with Tweens    \u003cbr\u003e    6 Character Animation with Bones    \u003cbr\u003e    7 Animating the Camera    \u003cbr\u003e    8 Animating Shapes and Using Masks    \u003cbr\u003e    9 Creating Interactive Navigation    \u003cbr\u003e    10 Working with Sound and Video    \u003cbr\u003e    11 Publishing    \u003cbr\u003e    Index","brand":"Pearson Education (US)","offers":[{"title":"Default Title","offer_id":48883799097687,"sku":"9780136887423","price":33.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780136887423.jpg?v=1722529094"},{"product_id":"adobe-indesign-classroom-in-a-book-2022-release-9780137622962","title":"Adobe InDesign Classroom in a Book 2022 release","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eKelly Kordes Anton\u003c\/strong\u003e has written and edited dozens of books and training resources on publishing technologies and InDesign, including nine previous editions of \u003cem\u003eAdobe InDesign Classroom in a Book\u003c\/em\u003e. She is a freelance writer based in Littleton, Colorado, and she also writes about ergonomics and lean manufacturing.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eTina DeJarld\u003c\/strong\u003e has worked on the front lines of taking designs from the computer screen to real-world production since before InDesign 1.0. She is highly accomplished in both prepress and graphic design production and passionate about building files that will work correctly. Tina has handled thousands of large and complex projects, becoming an expert on InDesign best practices and techniques. Tina is currently a senior production artist at thePub, a production studio in Chicago.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eGetting Started 1 Introducing the Workspace 2 Getting to Know InDesign 3 Setting Up a Document and Working with Pages 4 Working with Objects 5 Working with Color 6 Flowing Text  7 Editing Text  8 Working with Typography 9 Working with Styles 10 Creating Tables  11 Importing and Modifying Graphics 12 Working with Transparency 13 Printing and Exporting 14 Creating Adobe PDF Files with Form Fields 15 Creating a Fixed-Layout ePub and Publishing Online","brand":"Pearson Education (US)","offers":[{"title":"Default Title","offer_id":48883800277335,"sku":"9780137622962","price":36.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780137622962.jpg?v=1722529099"},{"product_id":"the-content-strategy-toolkit-9780138059279","title":"The Content Strategy Toolkit","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eMeghan Casey\u003c\/b\u003e owns Do Better Content Consulting. She helps a wide variety of clientsfrom startups, nonprofits, colleges and universities, Fortune 50 companies, and everything in betweensolve the messy content problems most organizations encounter every day.\u003c\/p\u003e \u003cp\u003eMeghan has also helped several agencies and clients build their capacity to do content strategy. Perhaps her proudest moments are when content strategy practitioners tell Meghan that the first edition of this book helped them launch their content strategy career, tackle a difficult content project, or get a promotion.\u003c\/p\u003e \u003cp\u003eA regular trainer and speaker on content strategy topics, she once inspired participants to spontaneously do the wave in a workshop setting. Yep, that really happened. Meghan has been working with content and communications since 1996, after receiving her Bachelor of Arts degree in writing from Concordia College. She also holds a Master of Arts in nonprofit management from Hamline University.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePART I: GET BUDGET AND BUY-IN\u003c\/p\u003e \u003cp\u003e1 IDENTIFY PROBLEMS AND OPPORTUNITIES\u003c\/p\u003e \u003cp\u003e2 CONVINCE LEADERS AND GET THE RESOURCES\u003c\/p\u003e \u003cp\u003ePART II: SET UP FOR SUCCESS\u003c\/p\u003e \u003cp\u003e3 GET STAKEHOLDERS ON BOARD\u003c\/p\u003e \u003cp\u003e4 ASSEMBLE YOUR CROSS‑DISCIPLINE TEAM\u003c\/p\u003e \u003cp\u003e5 PREPARE FOR CHANGE\u003c\/p\u003e \u003cp\u003ePART III: DIG IN AND GET THE DIRT\u003c\/p\u003e \u003cp\u003e6 UNDERSTAND YOUR BUSINESS ENVIRONMENT\u003c\/p\u003e \u003cp\u003e7 LEARN ABOUT YOUR AUDIENCE AND USERS\u003c\/p\u003e \u003cp\u003e8 GET FAMILIAR WITH YOUR CONTENT\u003c\/p\u003e \u003cp\u003e9 EVALUATE YOUR PROCESSES\u003c\/p\u003e \u003cp\u003ePART IV: ARTICULATE YOUR STRATEGY\u003c\/p\u003e \u003cp\u003e10 ALIGN ON A STRATEGIC FOUNDATION\u003c\/p\u003e \u003cp\u003e11 SET YOUR CONTENT COMPASS\u003c\/p\u003e \u003cp\u003ePART V: DESIGN YOUR CONTENT\u003c\/p\u003e \u003cp\u003e12 PRIORITIZE BASED ON YOUR STRATEGY\u003c\/p\u003e \u003cp\u003e13 ORGANIZE FOR INTUITIVE WAYFINDING\u003c\/p\u003e \u003cp\u003e14 DEFINE THE CONTENT EXPERIENCE\u003c\/p\u003e \u003cp\u003e15 SPECIFY CONTENT STRUCTURE AND REQUIREMENTS\u003c\/p\u003e \u003cp\u003ePART VI: IMPLEMENT AND EVOLVE\u003c\/p\u003e \u003cp\u003e16 DEFINE HOW YOU'LL GOVERN YOUR CONTENT\u003c\/p\u003e \u003cp\u003e17 BUILD OUT YOUR CONTENT PLAYBOOK\u003c\/p\u003e","brand":"Pearson Education (US)","offers":[{"title":"Default Title","offer_id":48883801063767,"sku":"9780138059279","price":26.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780138059279.jpg?v=1722529103"},{"product_id":"adobe-indesign-classroom-in-a-book-2024-release-9780138263911","title":"Adobe InDesign Classroom in a Book 2024 Release","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eKelly Kordes Anton\u003c\/strong\u003e has written and edited dozens of books and training resources on publishing technologies and InDesign, including nine previous editions of \u003cem\u003eAdobe InDesign Classroom in a Book\u003c\/em\u003e. She is a freelance writer based in Littleton, Colorado, and she also writes about ergonomics and lean manufacturing.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eTina DeJarld\u003c\/strong\u003e has worked on the front lines of taking designs from the computer screen to real-world production since before InDesign 1.0. She is highly accomplished in both prepress and graphic design production and passionate about building files that will work correctly. Tina has handled thousands of large and complex projects, becoming an expert on InDesign best practices and techniques. 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He is also technical lead of the LaTeX Project and, along with overseeing the original major release of LaTeX2_e in 1994, he has overseen the 36 subsequent releases of this software. Frank is author or coauthor of several books and of many and varied LaTeX extension packages, such as AMS-LaTeX, doc, multicol, and NFSS: the New Font Selection Scheme. He is on the board of the International Gutenberg Society, an international association for the study of the history and development of printing technology and font-oriented media, where he focuses on the more recent period. He is currently leading a multi-year project for automatically producing tagged and accessible PDF output from LaTeX.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eUlrike Fischer\u003c\/strong\u003e lives with her husband in Bonn, Germany. After studying mathematics at the University of Bonn, Ulrike became interested in the internal handling of fonts and in chess typesetting. With the help of the first edition of \u003cem\u003eThe LaTeX Companion\u003c\/em\u003e, she wrote at the chessfss package, which allows users to choose between various chess fonts, and other chess-related packages. She joined the LaTeX Project after the TUG meeting in Rio de Janeiro, where she presented her package tagpdf to create tagged PDFs to the team members. Together with other members of the LaTeX Project she now maintains various packages including luaotfload, hyperref, xcolor, the new LaTeX PDF management code and more.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cem\u003eList of Figures xxii\u003c\/em\u003e\u003cbr\u003e\u003cem\u003eList of Tables xxiv\u003c\/em\u003e\u003cbr\u003e\u003cem\u003eForeword, Part II xxix\u003c\/em\u003e\u003cbr\u003e\u003cem\u003ePreface, Part II xxxi\u003c\/em\u003e\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eChapter 10: Text and Symbol Fonts 1\u003c\/strong\u003e\u003cbr\u003e10.1 Overview 2\u003cbr\u003e10.2 Samples of larger font families 11\u003cbr\u003e10.3 Humanist (Oldstyle) serif fonts 36\u003cbr\u003e10.4 Garalde (Oldstyle) serif fonts 38\u003cbr\u003e10.5 Transitional\/Neoclassical serif fonts 46\u003cbr\u003e10.6 Didone (Modern) serif fonts 60\u003cbr\u003e10.7 Slab serif (Egyptian) fonts 64\u003cbr\u003e10.8 Sans serif fonts 67\u003cbr\u003e10.9 Monospaced (typewriter) fonts 88\u003cbr\u003e10.10 Historical and other fonts 97\u003cbr\u003e10.11 Fonts supporting Latin and polytonic Greek 106\u003cbr\u003e10.12 Fonts supporting Latin and Cyrillic 110\u003cbr\u003e10.13 The LaTeX world of symbols 113\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eChapter 11: Higher Mathematics 127\u003c\/strong\u003e\u003cbr\u003e11.1 Introduction to amsmath and mathtools 128\u003cbr\u003e11.2 Display and alignment structures for equations 131\u003cbr\u003e11.3 Matrix-like environments 153\u003cbr\u003e11.4 Compound structures and decorations 163\u003cbr\u003e11.5 Variable symbol commands180\u003cbr\u003e11.6 Words in mathematics 191\u003cbr\u003e11.7 Fine-tuning the mathematical layout 194\u003cbr\u003e11.8 Symbols in formulas 208\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eChapter 12: Fonts in formulas 225\u003c\/strong\u003e\u003cbr\u003e12.1 The world of (Latin) math alphabets 226\u003cbr\u003e12.2 Making it bold 235\u003cbr\u003e12.3 Traditional math font setup through packages 238\u003cbr\u003e12.4 unicode-math -- Using Unicode math fonts 253\u003cbr\u003e12.5 A visual comparison of different math setups 261\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eChapter 13: Localizing documents 297\u003c\/strong\u003e\u003cbr\u003e13.1 TeX and non–English languages 297\u003cbr\u003e13.2 The babel user interface 301\u003cbr\u003e13.3 User commands provided by language options 308\u003cbr\u003e13.4 Support for Cyrillic and Greek 324\u003cbr\u003e13.5 Complex scripts 330\u003cbr\u003e13.6 Tailoring babel 332\u003cbr\u003e13.7 Other approaches 341\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eChapter 14: Index Generation 343\u003c\/strong\u003e\u003cbr\u003e14.1 Syntax of the index entries 345\u003cbr\u003e14.2 \u003cem\u003eMakeIndex\u003c\/em\u003e -- A program to sort and format indexes 350\u003cbr\u003e14.3 upmendex -- A Unicode-aware indexing program 364\u003cbr\u003e14.4 xindy, xindex -- Two other indexing programs 370\u003cbr\u003e14.5 Enhancing the index with LATEX features 371\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eChapter 15: Bibliography Generation 375\u003c\/strong\u003e\u003cbr\u003e15.1 The standard LaTeX bibliography environment 376\u003cbr\u003e15.2 The biber and BibTeX programs378\u003cbr\u003e15.3 The BibTeX database format 380\u003cbr\u003e15.4 Using BibTeX or biber to produce the bibliography 409\u003cbr\u003e15.5 On-line bibliographies 413\u003cbr\u003e15.6 Bibliography database management tools 414\u003cbr\u003e15.7 Formatting the bibliography with styles 418\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eChapter 16: Managing Citations 469\u003c\/strong\u003e\u003cbr\u003e16.1 Introduction 469\u003cbr\u003e16.2 The number-only system 473\u003cbr\u003e16.3 The author-date system 487\u003cbr\u003e16.4 The author-number system 502\u003cbr\u003e16.5 The author-title system 507\u003cbr\u003e16.6 The verbose system 537\u003cbr\u003e16.7 biblatex -- One ring to rule them all 541\u003cbr\u003e16.8 Multiple bibliographies in one document 569\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eChapter 17: LaTeX Package Documentation Tools 583\u003c\/strong\u003e\u003cbr\u003e17.1 doc -- Documenting LaTeX and other code 584\u003cbr\u003e17.2 docstrip.tex -- Producing ready-to-run code 599\u003cbr\u003e17.3 l3build -- A versatile development environment 606\u003cbr\u003e17.4 Making use of version control tools 615\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eAppendix A: LaTeX Overview for Preamble, Package, and Class Writers 621\u003c\/strong\u003e\u003cbr\u003eA.1 Linking markup and formatting 622\u003cbr\u003eA.2 Counters and length expressions 646\u003cbr\u003eA.3 Page markup -- Boxes and rules 660\u003cbr\u003eA.4 LaTeX's hook management 671\u003cbr\u003eA.5 Control structure extensions 685\u003cbr\u003eA.6 Package and class file structure 693\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eAppendix B: Tracing and Resolving Problems 711\u003c\/strong\u003e\u003cbr\u003eB.1 Error messages 712\u003cbr\u003eB.2 Dying with memory exceeded 744\u003cbr\u003eB.3 Warnings and informational messages 749\u003cbr\u003eB.4 TeX and LaTeX commands for tracing 765\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eAppendix C: Going beyond 783\u003c\/strong\u003e\u003cbr\u003eC.1 Learn LaTeX -- A LaTeX online course for beginners 784\u003cbr\u003eC.2 Finding information available on your computer 785\u003cbr\u003eC.3 Accessing online information and getting help 787\u003cbr\u003eC.4 Getting all those TeX files 789\u003cbr\u003eC.5 Giving back to the community 792\u003c\/p\u003e \u003cp\u003e\u003cem\u003eBibliography 795\u003c\/em\u003e\u003cbr\u003e\u003cem\u003eIndex of Commands and Concepts 805\u003c\/em\u003e\u003cbr\u003e\u003cem\u003ePeople 955\u003c\/em\u003e\u003cbr\u003e\u003cem\u003eBiographies 961\u003c\/em\u003e\u003cbr\u003e\u003cem\u003eProduction Notes 965\u003c\/em\u003e\u003c\/p\u003e","brand":"Pearson Education 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The text provides a clear and concise description of what the Metaverse is and what its value means to readers and their companies. \u003c\/p\u003e\u003cp\u003eA continuous interaction with readers inside the book's virtual world in the Metaverse provides both structured and unstructured interactions with the highly qualified author and his guests in periodic and ongoing public events, serving as a repository of continuous learning and a sandbox for continuous innovations to be explored, analyzed, and reported.  \u003c\/p\u003e\u003cp\u003e\u003ci\u003eUnlocking the Metaverse\u003c\/i\u003e covers sample topics such as: \u003c\/p\u003e\u003cul\u003e\u003cli\u003eCon\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eAbout the Author ix\u003c\/p\u003e \u003cp\u003eAcknowledgments xi\u003c\/p\u003e \u003cp\u003eList of Acronyms xiii\u003c\/p\u003e \u003cp\u003eIntroduction: How to Use This Book xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1: Definitions 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMetaverse 1\u003c\/p\u003e \u003cp\u003eDigital Twin 4\u003c\/p\u003e \u003cp\u003eVirtual Worlds 6\u003c\/p\u003e \u003cp\u003eBlockchain 7\u003c\/p\u003e \u003cp\u003eFungible Token (FT) 8\u003c\/p\u003e \u003cp\u003eNon-fungible Token (NFT) 8\u003c\/p\u003e \u003cp\u003eSmart Contracts 9\u003c\/p\u003e \u003cp\u003eTokenomics 11\u003c\/p\u003e \u003cp\u003eGPT 11\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2: Digital Twins, Virtual Worlds, and the Metaverse 14\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDigital Twins 14\u003c\/p\u003e \u003cp\u003eGaming 20\u003c\/p\u003e \u003cp\u003eMonetization 22\u003c\/p\u003e \u003cp\u003eVirtual Worlds 23\u003c\/p\u003e \u003cp\u003eReality Capture and Motion Capture 24\u003c\/p\u003e \u003cp\u003eChase Olson – Reality Capture 25\u003c\/p\u003e \u003cp\u003eAvatars 30\u003c\/p\u003e \u003cp\u003eAvatar Interface 31\u003c\/p\u003e \u003cp\u003eAvatars as Metahumans\/Humanoids (MoCap) 32\u003c\/p\u003e \u003cp\u003eNPCs as Reference Oracles 32\u003c\/p\u003e \u003cp\u003eVirtual Worlds in the Metaverse Examples 34\u003c\/p\u003e \u003cp\u003eCybersecurity and Safety 37\u003c\/p\u003e \u003cp\u003eMetaverse 38\u003c\/p\u003e \u003cp\u003eIndustrial Metaverse 41\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3: Metaverse Mechanisms and Solutions 44\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBlockchain 45\u003c\/p\u003e \u003cp\u003eWorkflows 46\u003c\/p\u003e \u003cp\u003eCapital Asset Delivery Using Smart Contracts Workflow 46\u003c\/p\u003e \u003cp\u003eConstruction Documents as the Digital DNA of the Built Environment 47\u003c\/p\u003e \u003cp\u003eEthereum blockchain 47\u003c\/p\u003e \u003cp\u003eDigital Twin 48\u003c\/p\u003e \u003cp\u003eGeo Location and Workflow 48\u003c\/p\u003e \u003cp\u003eFacility Management 49\u003c\/p\u003e \u003cp\u003eChallenges 49\u003c\/p\u003e \u003cp\u003eGovernance in a Decentralized Digital Environment 51\u003c\/p\u003e \u003cp\u003eCybersecurity 51\u003c\/p\u003e \u003cp\u003eTrust 52\u003c\/p\u003e \u003cp\u003eData 53\u003c\/p\u003e \u003cp\u003eAvatars 53\u003c\/p\u003e \u003cp\u003eSmart Contracts 53\u003c\/p\u003e \u003cp\u003eValue Propositions 53\u003c\/p\u003e \u003cp\u003eIncreased Efficiency 54\u003c\/p\u003e \u003cp\u003eImproved Data Collection and Analysis 54\u003c\/p\u003e \u003cp\u003eAccurate and Trusted Facility Data and Information 54\u003c\/p\u003e \u003cp\u003eTokenomics 55\u003c\/p\u003e \u003cp\u003eWoven Collisions: NFTs and the Metaverse 56\u003c\/p\u003e \u003cp\u003eLOE 58\u003c\/p\u003e \u003cp\u003eReal-Estate-Backed Digital Asset Securities 59\u003c\/p\u003e \u003cp\u003eWeb 3 60\u003c\/p\u003e \u003cp\u003eAI 61\u003c\/p\u003e \u003cp\u003eGPT 63\u003c\/p\u003e \u003cp\u003eChatGPT Model 65\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4: The Crystal Ball 67\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eScarcity and 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Synopsis\u003c\/b\u003e\u003cbr\u003eImplement a basic Enterprise Architecture from start to finish using a four-stage, wheel-based approach. Aided by real-world examples, this book shows what elements are needed for the initial implementation of a fundamental Enterprise Architecture.   The book's pragmatic approach keeps existing architecture frameworks and methodologies in mind while providing instructions that are readable and applicable to all. The Enterprise Architecture Implementation Wheel builds on the methodology of existing architecture frameworks and allows you to apply the theory more pragmatically and closer to the reality that an architect encounters in daily practice.   While the main focus of the book is on the actual steps taken to design an Enterprise Architecture, other important topics include architecture origin, definition, domains, visualization, and roles. Getting Started with Enterprise Architecture is the ideal handbook for the architect who is asked to implement an Enterprise Architecture in an \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1 Introduction\u003cp\u003eChapter goal: Provide a short introduction into why this book was written and what the readers can expect.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eChapter 2 Architecture origin\u003c\/p\u003e\u003cp\u003eChapter goal: This chapter describes the origins of Enterprise Architecture. What created the need for structure to which Enterprise Architecture proved to be the answer? A timeline is used to provide insight into the key events that led to the emergence, evolution, and maturation of architecture. Finally, a brief explanation of the structure of the two best-known architecture frameworks (the Zachman Framework™ and the TOGAF Standard) is provided. The chapter concludes with the similarities and differences between the two frameworks.\u003c\/p\u003e\u003cp\u003e• Timeline\u003c\/p\u003e\u003cp\u003e• Zachman Framework\u003c\/p\u003e\u003cp\u003e• The Open Group Architecture Framework (TOGAF)\u003c\/p\u003e\u003cp\u003e• Similarities and differences\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eChapter 3 Architecture definition\u003c\/p\u003e\u003cp\u003eChapter goal: In Chapter 3, the definition of architecture is given. We learn that there are several definitions and that each interpretation of the field has a different point of view. The various definitions are all correct in themselves, even though they differ slightly from each other. Giving an unambiguous definition of architecture turns out to be not so easy.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eChapter 4 Architecture domains\u003c\/p\u003e\u003cp\u003eChapter goal: The present chapter discusses and explains the existence of architecture layers and domains. The importance of information concepts is discussed as the main factor for the introduction of an additional architecture domain; Information Architecture.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eChapter 5 Architecture roles\u003c\/p\u003e\u003cp\u003eChapter goal: Chapter 5 examines the growth of the profession and the relationship of that growth to the emergence of the motley collection of architecture roles. The role of the Enterprise Architect is described in more detail, and the similarities between this role and that of the Business Architect are noted. Other architecture roles are briefly reviewed to give an idea of the variety of roles that have emerged over the years.\u003c\/p\u003e\u003cp\u003e• Enterprise Architect\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eChapter 6 Architecture visualization\u003c\/p\u003e\u003cp\u003eChapter goal: This chapter focuses on visualizing the architecture. In order to communicate with the organization and its stakeholders, it is necessary to use a common language. This emphasizes the importance of consistency in the method of communication, as well as the use of uniformity. To achieve this, a unified modeling language must be used when visualizing architectural models and diagrams.\u003c\/p\u003e\u003cp\u003eChapter 6 also discusses the origins of the modeling language and identifies and explains the architectural elements used in this book. The architecture products (deliverables) catalog, matrix, diagram, and map are discussed, and the importance of using a good architecture tool is emphasized. Finally, the need for an architecture repository is addressed, and reasons are given why products such as an office suite are inadequate.\u003c\/p\u003e\u003cp\u003e• Uniform modeling language\u003c\/p\u003e\u003cp\u003eo Architecture elements\u003c\/p\u003e\u003cp\u003e• Catalogs, matrices and diagrams\u003c\/p\u003e\u003cp\u003e• The right toolset\u003c\/p\u003e\u003cp\u003eo Architecture Repository\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eChapter 7 Architecture positioning\u003c\/p\u003e\u003cp\u003eChapter goal: Chapter 7 looks at how architecture can be positioned in an organization. The four different ways described by the TOGAF Standard are each briefly explained, and the implications of each positioning are noted. Examples of architecture work appropriate to each positioning are also given.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eChapter 8 Architecture implementation\u003c\/p\u003e\u003cp\u003eChapter goal: Chapter 8 describes the actual implementation of a basic Enterprise Architecture. Guided by the Enterprise Architecture Implementation Wheel and using clearly defined architecture products (deliverables), each domain of the Enterprise Architecture is mapped out. Each of the stages defined in the Enterprise Architecture Implementation Wheel is covered in detail. The stages of documenting, defining, implementing and monitoring are discussed step by step. Through personal experience, examples, and detailed explanations, the reader works toward implementing a basic Enterprise Architecture.\u003c\/p\u003e\u003cp\u003e• Document\u003c\/p\u003e\u003cp\u003eo Information\u003c\/p\u003e\u003cp\u003eo Stakeholders\u003c\/p\u003e\u003cp\u003e• Define\u003c\/p\u003e\u003cp\u003eo Maturity\u003c\/p\u003e\u003cp\u003eo Framework\u003c\/p\u003e\u003cp\u003eo Strategy\u003c\/p\u003e\u003cp\u003e• Execute\u003c\/p\u003e\u003cp\u003eo Strategy\u003c\/p\u003e\u003cp\u003eo Roadmap\u003c\/p\u003e\u003cp\u003e• Control\u003c\/p\u003e\u003cp\u003eo Measure progress\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eChapter 9 Next steps\u003c\/p\u003e\u003cp\u003eChapter goal: Chapter 9 discusses the steps that can be taken after the basic Enterprise Architecture has been implemented. 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However, this new text speaks to nurses and — in a departure from earlier editions of this title — to all health professionals in direct patient care, regardless of their specialty, extending its usefulness as a textbook. This includes physicians, therapists, pharmacists, dieticians and many others. In recognition of the evolving digital environments in all healthcare settings and of interprofessional teams, the book is designed for a wide spectrum of healthcare professions including quality officers, health information managers, administrators and executives, as well as health information technology professionals such as engineers and computer scientists in health care. 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Namely, understanding the norms and priorities of data professionals helps you to spot risks and opportunities. As experienced, trusted data science advisors, and by providing valuable examples, Friedman and Swaminathan open a new data-driven world that spans every single industry vertical. -- Armen Kherlopian, CEO and Partner, Covenant Venture Capital\u003cbr\u003e\u003ci\u003eWinning with Data Science\u003c\/i\u003e is refreshingly practical and clear. It’s also fun and empowering. After reading it, you’ll be more savvy about working with data teams and more valuable to your company. You may even become the envy of your colleagues (and competitors), who will wonder how you got so smart. -- Steven Strogatz, Susan and Barton Winokur Distinguished Professor for the Public Understanding of Science and Mathematics, Cornell University, and author of \u003ci\u003eInfinite Powers\u003c\/i\u003e\u003cbr\u003eFriedman and Swaminathan have taken the complex topic of data science and made it accessible to everyone. Their creative use of characters, situations, and meaningful examples serve to demystify how to think about the field, how to use data science to solve everyday problems, and how to interact with data scientists to ensure successful projects. An excellent read, even for people who (think they) know a little about the field of data science! -- Melvin (Skip) Olson, global head, Integrated Evidence Strategy and Innovation, Novartis Pharma AG\u003cbr\u003e\u003ci\u003eWinning with Data Science\u003c\/i\u003e addresses a critical but often ignored obstacle in data science: the knowledge gap between business stakeholders and technical teams. This book cuts through data science buzzwords and empowers readers with the knowledge to cultivate thriving data cultures. Distinguishing itself from others, this book prioritizes effective communication and collaboration within the data science sphere, facilitating deeper discussions on intricate technical subjects. -- Jeff Chen, former chief data scientist of the U.S. Department of Commerce and coauthor of \u003ci\u003eData Science for Public Policy\u003c\/i\u003e\u003cbr\u003eA terrific work. \u003ci\u003eWinning with Data Science\u003c\/i\u003e expertly takes readers through daily 'data lives,' struggles with business problems, and the data science concepts that can help address them. -- Paul W. Thurman, Columbia University Mailman School of Public Health, and author of \u003ci\u003eMBA Fundamentals: Statistics\u003c\/i\u003e\u003cbr\u003eFriedman and Swaminathan provide a deep understanding of data science methodologies to managers, striking exactly the right balance of complexity and accessibility. -- Kim Sweeny, Principal Projects Officer, Institute for Sustainable Industries \u0026amp; Liveable Cities, Victoria University\u003cbr\u003eIn today's digital age, data is king. And for business leaders, extracting insights and using them to drive informed decisions is more crucial than ever. . . . If [you] want to speak the language of data and harness its potential, \u003ci\u003eWinning with Data Science\u003c\/i\u003e is a must-read. -- Ken Kuang, entrepreneur, and Founder, Torrey Hills Technologies\u003cbr\u003eBy the end of the book, you'll feel like a pro in talking about data, even if you're not a tech expert. -- Nirali Mehta, Founder and CEO, PHARMA-STATS\u003cbr\u003e\u003ci\u003eWinning with Data Science\u003c\/i\u003e tackles the complex topic of data science and simplifies it to make it accessible to anyone, enabling a more data-driven culture at your organization. -- David Mathison, CEO, Chief AI Officer Summit, CDO Club, and CDO Summit\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eAcknowledgments\u003cbr\u003eIntroduction\u003cbr\u003e1. Tools of the Trade\u003cbr\u003e2. The Data Science Project\u003cbr\u003e3. Data Science Foundations\u003cbr\u003e4. Making Decisions with Data\u003cbr\u003e5. Clustering, Segmenting, and Cutting Through the Noise\u003cbr\u003e6. Building Your First Model\u003cbr\u003e7. Tools for Machine Learning\u003cbr\u003e8. Pulling It Together\u003cbr\u003e9. Ethics\u003cbr\u003eConclusion\u003cbr\u003eNotes\u003cbr\u003eIndex","brand":"Columbia University Press","offers":[{"title":"Default Title","offer_id":49400370757975,"sku":"9780231206860","price":19.8,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780231206860.jpg?v=1730470523"},{"product_id":"computerassisted-planning-in-craniofacial-surgery-9780323826686","title":"ComputerAssisted Planning in Craniofacial Surgery","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eDraft format and toc     1.The History of the CT Scan: How Computer-Assisted Tomography Changed the Landscape of Surgical Planning. 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Those of us fighting for a better future than Amazon's dystopia have much to learn from this book'\u003c\/p\u003e -- Dania Rajendra, Inaugural Director, Athena Coalition\u003cbr\u003e\u003cp\u003e‘Takes us to the heart of Amazon’s empire and masterfully unpacks the intensive labor, hyper-surveillance, and gamification of work that warehouse laborers experience each day’\u003c\/p\u003e -- Veena Dubal, Professor of Law, University of California, Hastings College of Law\u003cbr\u003e\u003cp\u003e‘Deftly examines the dichotomy between Amazon's public personas and its union-busting, worker-surveilling behavior in fulfillment centers around the world’\u003c\/p\u003e -- ‘Engadget’\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eList of figures \u003cbr\u003e A note on methods \u003cbr\u003e Acknowledgments \u003cbr\u003e 1. Relentless\u003cbr\u003e 2. Work hard \u003cbr\u003e 3. Have fun \u003cbr\u003e 4. Customer obsession \u003cbr\u003e 5. Reimagine now \u003cbr\u003e 6. Make history \u003cbr\u003e Notes \u003cbr\u003e Index\u003c\/p\u003e","brand":"Pluto Press","offers":[{"title":"Default Title","offer_id":49404326117719,"sku":"9780745342160","price":68.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780745342160.jpg?v=1791464847"},{"product_id":"the-warehouse-9780745342177","title":"The Warehouse","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eAmazon's despoticautomation and surveillance technologies may well be its downfall\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e'This accessible and richly detailed book brings together fascinating interviews with Italian Amazon workers, historical and economic analysis, and thoughtful critique'\u003c\/p\u003e -- Lisa Nakamura, Lisa Nakamura, Director of the Digital Studies Institute and the Gwendolyn Calvert Baker Collegiate Professor of American Culture at the University of Michigan\u003cbr\u003e\u003cp\u003e'Delfanti has done here what more critics of Amazon should - listen carefully to the people whose work makes the corporation function. Those of us fighting for a better future than Amazon's dystopia have much to learn from this book'\u003c\/p\u003e -- Dania Rajendra, Inaugural Director, Athena Coalition\u003cbr\u003e\u003cp\u003e‘Takes us to the heart of Amazon’s empire and masterfully unpacks the intensive labor, hyper-surveillance, and gamification of work that warehouse laborers experience each day’\u003c\/p\u003e -- Veena Dubal, Professor of Law, University of California, Hastings College of Law\u003cbr\u003e\u003cp\u003e‘Deftly examines the dichotomy between Amazon's public personas and its union-busting, worker-surveilling behavior in fulfillment centers around the world’\u003c\/p\u003e -- ‘Engadget’\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eList of figures \u003cbr\u003e A note on methods \u003cbr\u003e Acknowledgments \u003cbr\u003e 1. Relentless\u003cbr\u003e 2. Work hard \u003cbr\u003e 3. Have fun \u003cbr\u003e 4. Customer obsession \u003cbr\u003e 5. Reimagine now \u003cbr\u003e 6. Make history \u003cbr\u003e Notes \u003cbr\u003e Index\u003c\/p\u003e","brand":"Pluto Press","offers":[{"title":"Default Title","offer_id":49404326150487,"sku":"9780745342177","price":18.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780745342177.jpg?v=1730486105"},{"product_id":"artificial-intelligence-for-fashion-9781484239308","title":"Artificial Intelligence for Fashion","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003eLearn how Artificial Intelligence (AI) is being applied in the fashion industry. With an application focused approach, this book provides real-world examples, breaks down technical jargon for non-technical readers, and provides an educational resource for fashion professionals.  The book investigates the ways in which AI is impacting every part of the fashion value chain starting with product discovery and working backwards to manufacturing.\u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eArtificial Intelligence for Fashion\u003c\/i\u003e walks you through concepts, such as connected retail, data mining, and artificially intelligent robotics.  Each chapter contains an example of how AI is being applied in the fashion industry illustrated by one major technological theme. There are no equations, algorithms, or code. The technological explanations are cumulative so you''ll discover more information about the inner workings of artificial intelligence in practical stages as the book progresses.\u0026amp;n\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart I: IntroductionChapter 1: Basics of Artificial IntelligencePart II: Shopping and Product DiscoveryChapter 2: Natural Language Processing \u0026amp; Conversational ShoppingChapter 3: Computer Vision \u0026amp; Smart MirrorsChapter 4: Neural Networks \u0026amp; Image SearchChapter 5: Virtual Style AssistantsPart III: SalesChapter 6: Big Science \u0026amp; Subscription ServicesChapter 7: Predictive Analytics \u0026amp; Size RecommendationsPart IV: DesigningChapter 8: Generative Models as Fashion DesignersChapter 9: Data Mining \u0026amp; Trend ForecastingPart V: ManufacturingChapter 10: Deep Learning \u0026amp; Demand ForecastingChapter 11: Robotics \u0026amp; ManufacturingPart VI: FutureChapter 12: Democratization and Impacts of AI.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"APress","offers":[{"title":"Default Title","offer_id":49409122599255,"sku":"9781484239308","price":26.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781484239308.jpg?v=1791472325"},{"product_id":"what-to-expect-when-youre-expecting-robots-the-future-of-human-robot-collaboration-9781541699113","title":"What To Expect When You're Expecting Robots: The","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFor however smart your Roomba or Alexa might seem, historically, robots have been fairly dumb. They are only able to do their jobs when given a narrow set of tasks, confined in a controlled environment, and overseen by a human operator. But things are changing. A new breed of robots is in development that will operate largely on their own. They'll drive on roads and sidewalks, ferry deliveries within buildings, stock shelves in stores, and coordinate teams of doctors and nurses. These autonomous systems will find their way into busy, often unpredictable public spaces. They could be truly collaborative, augmenting human work by attending to the parts of tasks we don't do as well, without our having to stop and direct them. \u003cbr\u003e\u003cbr\u003eBut consider, for a moment, the sorcerer's apprentice. The broom he set to work was also supposed to be collaborative, too, and should have made his life much easier. 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For it to work, this type of technology requires computer systems, data with management systems and advanced algorithms, used by AI.\u003c\/p\u003e \u003cp\u003eIn mechanical engineering, AI can offer many possibilities: in mechanical construction, predictive maintenance, plant monitoring, robotics, additive manufacturing, materials, vibration control and agro composites, among many others.\u003c\/p\u003e \u003cp\u003eThis book is dedicated to Artificial Intelligence uncertainties in mechanical problems. Each chapter clearly sets out used and developed illustrative examples. Aimed at students, \u003ci\u003eUncertainty and Artificial Intelligence\u003c\/i\u003e is also a valuable resource for practicing engineers and research lecturers.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003eAbdelkhalak EL HAMI\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 New Intelligence Method for Machine Tool Energy Consumption Estimation 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDorra BEN HASSEN, Anoire BEN JDIDIA, Mohamed TAOUFIK KHBOU, Mohamed Slim ABBES and Mohamed HADDAR\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 Mathematical model for estimating power consumption by the spindle and table of a mill 3\u003c\/p\u003e \u003cp\u003e1.3 ICA method 6\u003c\/p\u003e \u003cp\u003e1.4 Results and discussion 11\u003c\/p\u003e \u003cp\u003e1.5 Conclusion 15\u003c\/p\u003e \u003cp\u003e1.6 References 15\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Uncertainty and Artificial Intelligence: Applications to Maintenance in Additive Manufacturing 19\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eGhais KHARMANDA, Hicham BAAMMI and Abdelkhalak EL HAMI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 19\u003c\/p\u003e \u003cp\u003e2.2 Integration of uncertainty 20\u003c\/p\u003e \u003cp\u003e2.3 Uncertainty in artificial intelligence 21\u003c\/p\u003e \u003cp\u003e2.4 Artificial intelligence in additive manufacturing 24\u003c\/p\u003e \u003cp\u003e2.5 Predictive maintenance in additive manufacturing 27\u003c\/p\u003e \u003cp\u003e2.6 Proposed strategy and applications 30\u003c\/p\u003e \u003cp\u003e2.7 Conclusion 34\u003c\/p\u003e \u003cp\u003e2.8 References 35\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Bio-Composite Structural Durability: Using Artificial Intelligence for Cluster Classification 39\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAbel CHEROUAT\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 40\u003c\/p\u003e \u003cp\u003e3.2 The state of acoustic emission technology 43\u003c\/p\u003e \u003cp\u003e3.3 The concept behind classification 54\u003c\/p\u003e \u003cp\u003e3.4 Application to the classification of damage mechanisms in agro-composites 62\u003c\/p\u003e \u003cp\u003e3.5 Artificial neural networks for classifying damage 76\u003c\/p\u003e \u003cp\u003e3.6 Conclusion 89\u003c\/p\u003e \u003cp\u003e3.7 References 90\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Intelligent Control for Attenuating Vertical Vibrations in Vehicles 97\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMaroua HADDAR, Fakher CHAARI and Mohamed HADDAR\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 97\u003c\/p\u003e \u003cp\u003e4.2 Limits of passive and semi-active control strategies 99\u003c\/p\u003e \u003cp\u003e4.3 Model-free control (MFC) 100\u003c\/p\u003e \u003cp\u003e4.4 Application to the control of vertical vehicular vibrations 105\u003c\/p\u003e \u003cp\u003e4.5 Conclusion 115\u003c\/p\u003e \u003cp\u003e4.6 References 115\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Optimization of the Power Inductor of a DC\/DC Converter 119\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAbdelhamid AMAR, Bouchaïb RADI and Abdelkhalak EL HAMI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 119\u003c\/p\u003e \u003cp\u003e5.2 Description of the power inductor 121\u003c\/p\u003e \u003cp\u003e5.3 Thermomechanical modeling of the power inductor 121\u003c\/p\u003e \u003cp\u003e5.4 Optimization methods 126\u003c\/p\u003e \u003cp\u003e5.5 Optimization of the power inductor 131\u003c\/p\u003e \u003cp\u003e5.6 Conclusion 134\u003c\/p\u003e \u003cp\u003e5.7 References 135\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Study of the Influence of Noise and Speed on the Robustness of Independent Component Analysis in the Presence of Uncertainty 137\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDorra BEN HASSEN, Anoire BEN JDIDIA, Mohamed Slim ABBES, Fakher CHAARI and Mohamed HADDAR\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 137\u003c\/p\u003e \u003cp\u003e6.2 The model studied 139\u003c\/p\u003e \u003cp\u003e6.3 Construction of the road surface profile 141\u003c\/p\u003e \u003cp\u003e6.4 The principle of the ICA method 142\u003c\/p\u003e \u003cp\u003e6.5 Monte Carlo technique 145\u003c\/p\u003e \u003cp\u003e6.6 Results and discussion 145\u003c\/p\u003e \u003cp\u003e6.7 Conclusion 154\u003c\/p\u003e \u003cp\u003e6.8 References 154\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Multi-Objective Optimization Applied to a High Electron Mobility Transistor 157\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRabii EL MAANI, Abdelhamid AMAR, Bouchaïb RADI and Abdelkhalak EL HAMI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 157\u003c\/p\u003e \u003cp\u003e7.2 Description of HEMT technology 159\u003c\/p\u003e \u003cp\u003e7.3 Multi-physical modeling of the HEMT 160\u003c\/p\u003e \u003cp\u003e7.4 The multi-objective optimization approach 165\u003c\/p\u003e \u003cp\u003e7.5 Multi-objective optimization applied to HEMT technology 168\u003c\/p\u003e \u003cp\u003e7.6 Conclusion 170\u003c\/p\u003e \u003cp\u003e7.7 References 171\u003c\/p\u003e \u003cp\u003eList of Authors 173\u003c\/p\u003e \u003cp\u003eIndex 175\u003c\/p\u003e","brand":"ISTE Ltd and John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49412292739415,"sku":"9781786309426","price":95.4,"currency_code":"GBP","in_stock":false}]},{"product_id":"mental-health-informatics-enabling-a-learning-mental-healthcare-system-9783030705602","title":"Mental Health Informatics: Enabling a Learning","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis textbook provides a detailed resource introducing the subdiscipline of mental health informatics. It systematically reviews the methods, paradigms, tools and knowledge base in both clinical and bioinformatics and across the spectrum from research to clinical care. Key foundational technologies, such as terminologies, ontologies and data exchange standards are presented and given context within the complex landscape of mental health conditions, research and care. The learning health system model is utilized to emphasize the bi-directional nature of the translational science associated with mental health processes. Descriptions of the data, technologies, paradigms and products that are generated by and used in each process and their limitations are discussed. \u003c\/p\u003e  \u003cp\u003e\u003ci\u003eMental Health Informatics: Enabling a Learning Mental Healthcare System\u003c\/i\u003e is a comprehensive introductory resource for students, educators and researchers in mental health informatics and related behavioral sciences. It is an ideal resource for use in a survey course for both pre- and post-doctoral training programs, as well as for healthcare administrators, funding entities, vendors and product developers working to make mental healthcare more evidence-based.  \u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePrecision Medicine and the Learning Health System.- What is Informatics?.- What is Mental Health?.- Epistemological Differences between the Behavioral and Biological Sciences.- What is Mental Health Informatics?.- Big Picture: Process View of Mental Health Care Delivery.- Introduction to Technologies for Data Acquisition in Mental Health.- Informatics Technologies for the Acquisition of Biological Data.- Informatics Technologies for the Acquisition of Psychological and Behavioral Data.- Informatics Technologies for the Acquisition of Interpersonal, Social and Environmental Data: The Exosome.- Informatics Technologies for the Acquisition of Population Level Data.- Introduction to Methods for Extracting Meaningful Information from Data in Mental Health.- Concept and Knowledge Representation to Transform Data into Information in Mental Health.- Bioinformatics Methods in Mental Health Research and Practice.- Psychometric Methods.- Computational Models and Analytic Methods.- Natural Language Processing in Mental Health Research and Practice.- Introduction to Paradigms for Knowledge Discovery in Mental Health.- Paradigms for Knowledge Discovery in Clinical and Research Data Repositories.- Biomarker Discovery.- Data Visualization.- Inferential Analysis and Predictive Modeling.- The Role of Biological Information in Mental Health Research and Practice.- Electronic Health Record (EHR) Systems in Mental Health.- Computerized Clinical Decision Support in Mental Health.- Informatics Technologies in Detection and Diagnosis of Mental Health Conditions.- Informatics Technologies in Prevention and Treatment of Mental Health Conditions.- Informatics Technologies for Care Coordination and Continuity of Care.- Informatics Technologies to Improve Patient Safety in Mental Health.- Registries.- Disseminating Newly Acquired Knowledge.- Ethical Legal and Social Issues (ELSI).- The Future of Mental Health Informatics. ","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":49415630848343,"sku":"9783030705602","price":49.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030705602.jpg?v=1730527580"},{"product_id":"pervasive-healthcare-a-compendium-of-critical-factors-for-success-9783030777456","title":"Pervasive Healthcare: A Compendium of Critical","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book provides in depth knowledge about critical factors involved in the success of pervasive healthcare. The book first presents critical components and importance of pervasive healthcare. The authors then give insight into the pervasive healthcare information systems and key consideration related to remote patient monitoring and safety. The book provides in-depth discussion about the security issues and protocols for pervasive healthcare. This book explores concepts and techniques behind the successive pervasive healthcare systems by providing in-depth knowledge about patient empowerment, remote patient monitoring, network establishment and protocols for effective pervasive healthcare. The book also provides case studies in the field. It is an ideal resource for researchers, students and healthcare organizations to get insight about the state of the art in pervasive healthcare systems.\u003cbr\u003e\u003cul\u003e\n\u003cli\u003eProvides current research, developments, and applications in pervasive healthcare;\u003c\/li\u003e\n\u003cli\u003eIncludes technologies such as machine learning, cryptography, fog computing, and big data in the advancement of e-healthcare;\u003c\/li\u003e\n\u003cli\u003ePertinent for researchers, students, practitioners and healthcare decision makers.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.-  Hybrid Machine Learning Techniques for Reliability and Security of Healthcare IoT Data.- Cryptographic Operations and Approaches for Privacy of IoT Data in healthcare.- Standards and Approaches for use of Blockchain Technology in Pervasive Healthcare.- Prediction of REM sleep behaviour disorder using EEG signal applied EMG 1 EMG 2 channel.- Healthcare Assisted by Fog Computing for Secure Data Transmission in Healthcare IoTs.- Experimental approaches for prediction of breast cancer diseases using clustering concepts.- Incident reporting system for Pervasive Healthcare.- Blockchain  Application for Healthcare record management.- Applying Machine Learning Approach for  Disease prediction.- Mobile system for remote patient monitoring.- Securing Pervasive Healthcare system.- Remote Patient Monitoring: Benefits, Applications and Issues.- Self-reporting in Pervasive Healthcare.- Role of Big Data Analytics in Pervasive Healthcare.- ML Techniques for remote patient activity monitoring.- Trust Management in Pervasive Healthcare.- Disease Detection using Android App.- Application of computer assisted machine learning based techniques in detecting neurological disorders.- Conclusion.\u003cp\u003e\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":49415638516055,"sku":"9783030777456","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030777456.jpg?v=1730527610"},{"product_id":"evolving-role-of-ai-and-iomt-in-the-healthcare-market-9783030820787","title":"Evolving Role of AI and IoMT in the Healthcare","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of innovative solutions in healthcare is beneficial, and IoT, together with AI, are strong drivers of the digital transformation regardless of what field the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world.  \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- Insights on Cognitive Neuroscience Based on Deep Neural Networks.- Robot Assisted Treatment for Children with Learning Disabilities.- Machine learning based approaches for detecting COVID-19 using clinical data in an IoMT environment.- COVID-19 Epidemic Analysis using Deep Learning Approaches.- A Cancer Diagnosis System for Detection of Lung Cancers in an IOMT Environment.- An IOMT-Based Diagnosis System for COVID-19.- Prediction of COVID-19 Epidemic Curve of India: A Machine Learning Approach.- Internet of Medical Things (IoMT) services during COVID-19 pandemic: Roles, challenges, and applications.- Tackling Security and Privacy in Internet of Medical Things (IoMT).- Lightweight AI-Based Security Solutions in IoMT.- Conclusion.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":49415644643671,"sku":"9783030820787","price":107.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030820787.jpg?v=1730527630"},{"product_id":"evaluation-methods-in-biomedical-and-health-informatics-9783030864521","title":"Evaluation Methods in Biomedical and Health","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eHeavily updated and revised from the successful first edition  \u003cp\u003eAppeals to a wide range of informatics professionals, from students to on-site medical information system administrators  \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eIncludes case studies and real world system evaluations  \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eReferences and self-tests for feedback and motivation after each chapter  \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eGreat for teaching purposes, the book is recommended for courses offered at universities such as Columbia University  \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003ePrecise definition and use of terms  \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChallenges of Evaluation in Biomedical Informatics.- Evaluation as a Field.- Determining What to Study.- The Structure of Objectivist Studies.- Measurement Fundamentals.- Developing and Improving Measurement Methods.- The Design of Demonstration Studies.- Analyzing the Results of Demonstration Studies.- Subjectivist Approaches to Evaluation.- Performing Subjectivist Studies in the Qualitative Traditions Responsive to Users.- Economic Aspects of Evaluation.- Proposing and Communicating the Results of Evaluation Studies: Ethical, Legal, and Regulatory Issues.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":49415651950935,"sku":"9783030864521","price":62.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030864521.jpg?v=1730527657"},{"product_id":"applied-statistical-considerations-for-clinical-researchers-9783030874094","title":"Applied Statistical Considerations for Clinical","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis essential book details intermediate-level statistical methods and frameworks for the clinician and medical researcher with an elementary grasp of health statistics and focuses on selecting the appropriate statistical method for many scenarios. Detailed evaluation of various methodologies familiarizes readers with the available techniques and equips them with the tools to select the best from a range of options. The inclusion of a hypothetical case study between a clinician and statistician charting the conception of the research idea through to results dissemination enables the reader to understand how to apply the concepts covered into their day-to-day clinical practice.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eApplied Statistical Considerations for Clinical Researchers\u003c\/i\u003e focuses on how clinicians can approach statistical issues when confronted with a medical research problem by considering the data structure, how this relates to their study's aims and any potential knock-on effects relating to the evidence required to make correct clinical decisions. It covers the application of intermediate-level techniques in health statistics making it an ideal resource for the clinician seeking an up-to-date resource on the topic.\u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- Preliminaries.- Design.- Planning.-  Data Acquisition.- Data Manipulation Analysis.- Inferencesty.- Dissemination.- A Case Study.- Conclusions.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":49415653163351,"sku":"9783030874094","price":42.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030874094.jpg?v=1730527665"},{"product_id":"medicine-based-informatics-and-engineering-9783030878443","title":"Medicine-Based Informatics and Engineering","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book originates from the idea to adapt biomedical engineering and medical informatics to current clinical needs and proposes a paradigm shift in medical engineering, where the limitations of technology should no longer be the starting point of design, but rather the development of biomedical devices, software, and systems should stem from clinical needs and wishes.  Gathering chapters written by authoritative researchers, working the interface between medicine and engineering, this book presents successful attempts of conceiving technology based on clinical practice. It reports on new strategies for medical diagnosis, rehabilitation, and eHealth, focusing on solutions to foster better quality of life through technology, with an emphasis on patients’ and clinical needs, and vulnerable populations.   All in all, the book offers a reference guide and a source of inspiration for biomedical engineers, clinical scientists, physicians, and computer scientists. Yet, it also includes practical information for personnel using biomedical equipment, as well as timely insights that are expected to help health agencies and software firms in their decision-making processes.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- Medicine Based Engineering and Informatics to Foster Patient Physician Relationship.- Statistical Gait Analysis based on surface electromyography.- Brain-computer interfaces with functional electrical stimulation for motor neurorehabilitation: from research to clinical practice.- Biopotential acquisition systems.- Wearable Bioimpedance Measuring Devices.- Predictive cardiovascular engineering: transforming data into future insights on cardiovascular disease.- Engineering special medical devices for vulnerable groups.- Serious games and virtual reality for rehabilitation and follow up of wheelchaired persons.- Society 5.0 and a Human Centred Health Care.","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":49415653982551,"sku":"9783030878443","price":98.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030878443.jpg?v=1730527669"},{"product_id":"artificial-intelligence-for-innovative-healthcare-informatics-9783030965686","title":"Artificial Intelligence for Innovative Healthcare","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThere are several popular books published in Healthcare Computational Informatics like Computational Bioengineering and Bioinformatics (2020), Springer; Health Informatics (2017), Springer; Health Informatics Vision: From Data via Information to Knowledge (2019), IOS Press; Data Analytics in Biomedical Engineering and Healthcare (2020), Elsevier. However, in all these mentioned books, the challenges in Biomedical Imaging are solved in one dimension by use of any specific technology like Image Processing, Machine Learning or Computer Aided Systems.  In this book, the book it has been attempted to bring all technologies related to computational analytics together and apply them on Biomedical Imaging.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eSection 1: Medical Image Analysis using Artificial Intelligence\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003eUse of Deep Learning in Biomedical Imaging\u003c\/p\u003e  \u003cp\u003eDetection of Breast Cancer Masses in Mammogram Images with Watershed Segmentation and Machine Learning Approach\u003c\/p\u003e  \u003cp\u003eCloud-based Glaucoma Diagnosis in Medical Imaging using Machine Learning\u003c\/p\u003e  \u003cp\u003eLeucocytic Cell Nucleus Identification using Boundary Cell Detection algorithm with Dilation and Erosion based Morphometry\u003c\/p\u003e  \u003cp\u003eEffective Prediction of Autism Using Ensemble Method\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eSection 2: Artificial Intelligence (AI) Classification Models for COVID-19 Pandemic\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003eAutomatic Classification of COVID-19 infected patients using Convolution Neural Network Models\u003c\/p\u003e  \u003cp\u003eAI-Based Deep Random Forest Ensemble Model for Prediction of COVID-19 and Pneumonia from Chest X-Ray Images\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eSection 3: Use of AI-Enabled IoT in Healthcare\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003eInternet of Things and Artificial Intelligence in Biomedical Systems\u003c\/p\u003e  \u003cp\u003eRole of IoT in Healthcare Sector for Monitoring Diabetic Patients\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eSection 4: Applications of Artificial Intelligence in Healthcare\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003eLow-Rank Representation based approach for subspace segmentation and clustering of biomedical image patterns\u003c\/p\u003e  \u003cp\u003ePerformance Comparison of Imputation Methods for Heart Disease Prediction\u003c\/p\u003e  \u003cp\u003eAyurnano: A solution towards herbal therapeutics using Artificial Intelligence approach\u003c\/p\u003e  \u003cp\u003eArtificial Intelligence in Biomedical Education\u003c\/p\u003e  \u003cp\u003eThe Emergence of Natural Language Processing (NLP) Techniques in Healthcare AI\u003c\/p\u003e  \u003cp\u003eProspects and Difficulties of Artificial Intelligence (AI) Implementations in Naturopathy\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":49415667941719,"sku":"9783030965686","price":113.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030965686.jpg?v=1730527717"},{"product_id":"gerontechnology-iv-contributions-to-the-fourth-international-workshop-on-gerontechnology-iwog-2021-november-23-24-2021-evora-portugal-9783030975234","title":"Gerontechnology IV: Contributions to the Fourth","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book gathers peer-review contributions to the 4th International Workshop on Gerontechnology, IWoG 2021, held on November 23-24, 2021, in Évora, Portugal. They report on cutting-edge technologies and optimized workflows for promoting active aging and assisting elderly people at home, as well as in healthcare centers. They discuss the main challenges in the development, use and delivery of health care services and technologies.  Not only they propose solutions for improving in practice the monitoring and management of health parameters and age-related diseases, yet they also describe improved approaches for helping seniors in their daily tasks and facilitating their communication and integration with assistive technologies, thus improving their quality of life, as well as their social integration. All in all, this book provides health professionals, researchers, and service providers with extensive information on the latest trends in the development and practical application of gerontechnology, with a special emphasis on improving quality of life of the elderly. \u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eContigo: Monitoring People’s Activity App for Anomalies Detection.- SAMoA: A Self-Adaptive Mobility Monitoring Framework for MCI Elderly People and their Caregivers.- Blockchain-supported health registry: the claim for a Personal Health Trajectory traceability and how it can be achieved.- A graph-based healthcare system for quantum simulation of medication administration in the aging people.- Distributed Sustainable IoT Architecture for Detecting Loneliness in Isolated Rural Areas.- Software Product Lines for Industrial Robots: A Pilot Case with Arduino.- Accessible and Personalised Environments for the Care of Older People in the Home Environment.- Acceptance of digital tools for healthy aging. New challenges for Nursing.- Satisfaction: a concept based on Functionality and Quality of life to be integrated in a Nursing Care Performance System.- Age-friendly primary health care: A scoping review.\u003cp\u003e\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":49415669285207,"sku":"9783030975234","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783030975234.jpg?v=1730527724"},{"product_id":"architectural-graphics-volume-1-graphics-for-analysis-9783031046315","title":"Architectural Graphics: Volume 1 - Graphics for","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book reports on several advances in architectural graphics, with a special emphasis on education, training, and research. It gathers a selection of contributions to the 19th International Conference on Graphic Design in Architecture, EGA 2022, held on June 2–4, 2022, in Cartagena, Spain, with the motto: \"Beyond drawings. The use of architectural graphics\".\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eAnalysis and geographical representation of Cilento's monastic architecture.- Analysis of the Critical Issue Occuring in the Procedures of Image-Based Acquisition of Cultural Heritage.- Architectural survey for analysis and conservation of fortifications of Belver de los Montes (Zamora).- Connections Between the Architectural Drawings of Miralles and Mackintosh: From Ichnographia to caenographia.- Detailed Knowledge of Territory: Exploration and Army.- Digital reprocessing of historical cartography through historiographic analysis of sites.\u003cp\u003e\u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415675904343,"sku":"9783031046315","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031046315.jpg?v=1730527749"},{"product_id":"innovative-tools-and-methods-using-bim-for-an-efficient-renovation-in-buildings-9783031046698","title":"Innovative Tools and Methods Using BIM for an","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis open access book describes a BIM-based toolkit that has been developed according to the latest research activities on building information modelling and semantic interoperability to optimize the building process. It highlights the impacts of using such new tools to fast renovation activities starting from the decision-making and design stages to the construction site management with the possibility to monitor occupants' and owners’ feedback during the realization process. In this process, a framework has been developed and implemented to allow stakeholders involved in a renovation project to efficiently compile, maintain, and add data about (i) building elements, (ii) building services systems, (iii) tenants, operators, and owners of the building, and (iv) current and predicted performance of the building from the various data sources available. The framework applies and specializes the existing practices in the Semantic Web, Linked Data, and ontology domain to the management of renovation projects. It has been designed to be open so that any system which implements the required functions and uses the specified conventions will be able to achieve semantic interoperability with other framework-compliant systems in the renovation domain. Finally, this book represents the validation process of the toolkit that has been held in three demo sites: a social housing building in Italy and two private residential buildings in Poland and Finland. The outcome shows that the toolkit facilitates the renovation process with relevant reductions of time, costs, and energy consumption and that the inhabitants can take advantage of the increase in building performances, quality, and comfort.\u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415675969879,"sku":"9783031046698","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031046698.jpg?v=1730527748"},{"product_id":"architectural-graphics-volume-2-graphics-for-knowledge-and-production-9783031047022","title":"Architectural Graphics: Volume 2 - Graphics for","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book reports on several advances in architectural graphics, with a special emphasis on education, training and research. It gathers a selection of contributions to the 19th International Conference on Graphic Design in Architecture, EGA 2022, held on June 2–4, 2022, in Cartagena, Spain, with the motto: \"Beyond drawings. The use of architectural graphics\".\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eMadrid and the Board of Houses of the Navy: Four Projects for Spain in the 1940s.- Framing, filling, linking: The drawing of elements for city description.- From historical and theoretical analysis of Representation and Geometry to Topology for Structural Optimization.- From image to investigation 3D reconstruction with perspective restitution.- From the \"sacred theatres\" of Andrea Pozzo to the international truncated calotte: history and representation of the Immacolatella church’s tribune in Trapani (1732).- Geometric and formal characterization of the church of Santa María de Tobed.\u003cp\u003e\u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415676035415,"sku":"9783031047022","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031047022.jpg?v=1730527748"},{"product_id":"person-centered-outcome-metrology-principles-and-applications-for-high-stakes-decision-making-9783031074646","title":"Person-Centered Outcome Metrology: Principles and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis unique collection of chapters from world experts on person-centered outcome (PCO) measures addresses the following critical questions: Can individual experiences be represented in measurements that do not reduce unique differences to meaningless uniformity? How person-centric are PCO measures? Are PCO measurements capable of delivering the kind of quality assured quantification required for high-stakes decision making? Are PCO measures likely to support improved health care delivery? Have pivotal clinical studies failed to deliver treatments for diseases because of shortcomings in the PCO measures used? Are these shortcomings primarily matters of precision and meaningfulness? Or is the lack of common languages for communicating outcomes also debilitating to quality improvement, research, and the health care economy? Three key issues form an urgent basis for further investigation. First, the numbers generated by PCO measures are increasingly used as the central dependent variables upon which high stakes decisions are made. The rising profile of PCO measures places new demands for higher quality information from scale and test construction, evaluation, selection, and interpretation. Second, PCO measurement science has well-established lessons to be learned from those who have built and established the science over many decades. Finally, the goal in making a PCO measurement is to inform outcome management. As such, it is vitally important that key stakeholders understand that, over the last half century, developments in psychometrics have refocused measurement on illuminating clinically important individual differences in the context of widely reproduced patterns of variation in health and functioning, comparable scale values for quality improvement, and practical explanatory models.\u003c\/p\u003e\u003cp\u003eThis book’s audience includes anyone interested in person-centered care, including healthcare researchers and practitioners, policy makers, pharmaceutical industry representatives, clinicians, patient advocates, and metrologists.\u003c\/p\u003e\u003cp\u003eThis is an open access book.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eI.\tPolicyi.\tRegulatorsiii.\tPatient Engagementiv.\tLegalv.\tSustainabilityII.\tPracticei.\tBridging legacy instrumentsii.\tQPROMSiii.\tPROMiv.\tVisual Functioning daily activities item bankv.\tNeuromuscular disease clinical trialsIII.\tMethods\/Methodologyi.\tQualitative - patientsii.\tQualitative - cliniciansiii.\tPsychometric analysis – Rasch Modeliv.\tMixed methodsv.\tConstruct Specification EquationsIV.\tTheory\/History\/Philosophyi.\tA history of social measurementii.\tA history of clinical outcomesiii.\tValidityiv.\tRasch Measurement Theoryv.\tLinking social measurement to person centered outcome metrology","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415679050071,"sku":"9783031074646","price":116.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031074646.jpg?v=1730527759"},{"product_id":"information-technology-in-biomedicine-9th-international-conference-itib-2022-kamien-slaski-poland-june-20-22-2022-proceedings-9783031091346","title":"Information Technology in Biomedicine: 9th","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book presents a comprehensive study in the field of advances in medical data science and contains carefully selected articles contributed by experts of information technology. Continuous growth of the amount of medical information and the variety of multimodal content necessitates the demand for a fast and reliable technology able to process data and deliver results in a user-friendly manner at the time and place the information is needed. \u003c\/p\u003e  \u003cp\u003eComputational approaches for understanding human complexity, AI-powered applications in image and signal processing, bioinformatics, sound and motion as activity stimulus, joint activities in biomedical engineering and physiotherapy, disorder in children, selected comparative studies give new meaning to optimization of the functional requirements of the healthcare system for the benefit of the patients. It is an interdisciplinary collection of papers that have both theoretical and applied dimensions. It includes the following research areas: \u003c\/p\u003e  \u003cp\u003eComputational methods for understanding human complexity\u003c\/p\u003e  \u003cp\u003eImage and signal analysis\u003c\/p\u003e  \u003cp\u003eMultidimensional medical data analysis\u003c\/p\u003e  Sound and motion \u003cp\u003e\u003c\/p\u003e  \u003cp\u003eJoint activities in biomedical engineering and physiotherapy\u003c\/p\u003e  \u003cp\u003eThis book is a great reference tool for scientists who deal with problems of designing and implementing information processing tools employed in systems that assist the clinicians, radiologists, and physiotherapists in patient diagnosis and treatment. It also serves students in exploring innovations in quantitative medical data analysis, data mining, and artificial intelligence.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eClassifying Changes in Motion Behaviour Due to a Hospital Stay Using Floor Sensor Data – a Single Case Study.- Cloud-Based System for Vital Data Recording at Patients’ Home.- Tele-BRAIN Diagnostics Support System for Cognitive Disorders in Parkinson’s Patients.- EEG Signal and Deep Learning Approach in Evaluation of Cognitive Declines in Parkinson’s Disease.- Construction of a Cephalometric Image Based on Magnetic Resonance Imaging Data.- A Revealed Imperfection in Concept Drift Correction in Metabolomics Modeling.- The Influence of Low-Intensity Pulsed Ultrasound (LIPUS) on the Properties of PLGA Biodegradable Polymer Coatings on Ti6Al7Nb Substrate.\u003cp\u003e\u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415681376599,"sku":"9783031091346","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031091346.jpg?v=1730527769"},{"product_id":"artificial-intelligence-and-machine-learning-for-healthcare-vol-1-image-and-data-analytics-9783031111532","title":"Artificial Intelligence and Machine Learning for","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eArtificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans.  AL\/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis edition on AI and ML for healthcare consists of two volumes.  The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future.\u003c\/p\u003e\u003cp\u003eIn this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented.  These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eAn Introduction to Artificial Intelligence in Healthcare.- Radiomics: Approach to Precision Medicine.- Artificial Intelligence Based Strategies for Data-Driven Radial MRI. \u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415683899735,"sku":"9783031111532","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031111532.jpg?v=1730527779"},{"product_id":"health-information-systems-technological-and-management-perspectives-9783031123122","title":"Health Information Systems: Technological and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis heavily revised open access edition provides a thorough overview of the technologies available to assemble, manage and assess the quality of health information systems. It details a variety of scenarios in the context of both health and heath care, including where prevention and wellness are related, such as the treatment of both acute and chronic diseases. Stakeholder requirements are also described to provide perspectives for describing the architectures and management techniques associated with health information systems, enabling the reader to develop a detailed holistic overview of the subject.   \u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003ci\u003eHealth Information Systems: Technological and Management Perspectives \u003c\/i\u003efeatures a detailed overview of how information systems in health care can be managed and is a vital resource for medical informatics students seeking an up-to-date text on the topic.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction.- Motivation And Objective Of The Book.- Life Situations.- Stakeholders’ Requirements.- Example.- Summary.- Basic Concepts And Terms.- Introduction.- Data, Information And Knowledge.- Systems And Subsystems.- Information Systems.- Health Information Systems.- Information Logistics In Health Information Systems.- Functions And Processes Of Health Care Settings.- Information Processing Tools Of Health Information Systems.- Electronic Health Records As A Part Of Health Information Systems.- Architecture And Infrastructure Of Health Information Systems.- Management Of Health Information Systems.- Modeling Information Systems.- Using The Snik Ontology Together With This Book.- Examples.- Exercises.- Summary.- Technological Perspective: Architectures, Integration And Standards.- Introduction.- Layers Of Architectures.- Integrity And Integration.- Standards For Interoperability.- Specific Health Information Systems.- Examples.- Exercises.- Summary.- Management Perspective: Tasks, Scope And Governance.- Introduction.- Strategic, Tactical And Operational Management Of Information Systems.- Tasks And Methods Of Strategic Management Of Information Systems.- It Service Management.- Data Governance.- It Governance.- Managing Specific Health Information Systems.- Examples.- Exercises.- Summary.- Quintessence: Quality.- Fulfillment Of Stakeholders’ Requirements.- Evaluation.- Summary.- Thesaurus.- Literature Cited.     ","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415685505367,"sku":"9783031123122","price":33.24,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031123122.jpg?v=1730527783"},{"product_id":"blockchain-for-secure-healthcare-using-internet-of-medical-things-iomt-9783031188954","title":"Blockchain for Secure Healthcare Using Internet","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eHealthcare has become an extremely important and relevant topic in day to day discussions ever since the COVID-19 pandemic has been encountered by the global population. This has led to a renewed focus and attention that researchers from every discipline have put in to realize better strategies for healthcare management in general. This book is an attempt to put to use recent advancements in the field of the Internet of Medical Things often called IoMT, which is an extension of IoT for real-time, data analytics-driven prompt and quality healthcare to global citizens. Security has been always a challenge with pervasive technologies like IoMT and IoT, and thus usage of disruptive technology like blockchain to offset the security concerns that surround the data and network management. Therefore, this book is an honest attempt to provide directions to applied areas of research in IoMT for healthcare with the aid and help of Blockchain Technologies.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Chapter\u003cp\u003e1.1. Introduction \u003c\/p\u003e  \u003cp\u003e1.2. Smart Healthcare and Telemedical System\u003c\/p\u003e  \u003cp\u003e1.2.1. Smart Healthcare Technology \u003c\/p\u003e  \u003cp\u003e1.2.2. Remote monitoring and automated healthcare system \u003c\/p\u003e  \u003cp\u003e1.2.3. Remote Care and Telehealth \u003c\/p\u003e  \u003cp\u003e1.2.4. Emergency response solution for connectivity \u003c\/p\u003e  \u003cp\u003e1.2.5. Smart Hospital Management \u003c\/p\u003e  \u003cp\u003e1.3. Telemedical Healthcare \u003c\/p\u003e  \u003cp\u003e1.3.1. Registration Phase \u003c\/p\u003e  \u003cp\u003e1.3.2. Login Phase and Mutual Authentication\u003c\/p\u003e  \u003cp\u003e1.3.3. Telemedicine Server \u003c\/p\u003e  \u003cp\u003e1.4. Intelligent Medical Care using IoT \u003c\/p\u003e  1.5. Smart Healthcare: Challenges and Threats \u003cp\u003e\u003c\/p\u003e  \u003cp\u003eConclusion\u003c\/p\u003e  \u003cp\u003eReferences \u003c\/p\u003e  \u003cp\u003e2. Chapter \u003c\/p\u003e  \u003cp\u003e2.1. Introduction\u003c\/p\u003e  \u003cp\u003e2.2. IoT Related Sub-Components \u003c\/p\u003e  \u003cp\u003e2.2.1. Embedded programming \u003c\/p\u003e  2.2.2. Hardware device \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e2.2.3. Security \u003c\/p\u003e  \u003cp\u003e2.2.4. Networking and cloud Integration \u003c\/p\u003e  \u003cp\u003e2.2.5. Data Analytics and prediction \u003c\/p\u003e  \u003cp\u003e2.2.6. Machine Learning and AI\u003c\/p\u003e  \u003cp\u003e2.3. Architecture of IoT \u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e2.3.1. Sensors and Actuators \u003c\/p\u003e  \u003cp\u003e2.3.2. Internet gateway \u003c\/p\u003e  \u003cp\u003e2.3.3. Edge Computing IT System\u003c\/p\u003e  \u003cp\u003e2.3.4. Data Centre and Cloud \u003c\/p\u003e  \u003cp\u003e2.3.5. Application of IoT \u003c\/p\u003e  \u003cp\u003e2.3.6. Smart Homes \u003c\/p\u003e  \u003cp\u003e2.3.7. Smart Agriculture \u003c\/p\u003e  \u003cp\u003e2.3.8. Energy Management \u003c\/p\u003e  \u003cp\u003e2.3.9. Industrial Internet \u003c\/p\u003e  \u003cp\u003e2.4. IoT In Healthcare \u003c\/p\u003e  \u003cp\u003e2.4.1. Remote patient monitoring \u003c\/p\u003e  \u003cp\u003e2.4.2. Real time Data Tracking \u003c\/p\u003e  \u003cp\u003e2.4.3. Connected wearables \u003c\/p\u003e  \u003cp\u003e2.5. Internet of Medical Things (IoMT or IoMedT) \u003c\/p\u003e  \u003cp\u003e2.6. Challenges for IoMT \u003c\/p\u003e  \u003cp\u003eConclusion\u003c\/p\u003e  \u003cp\u003eReferences \u003c\/p\u003e  \u003cp\u003e3. Chapter\u003c\/p\u003e  3.1. Introduction \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e3.2. IoT Components \u003c\/p\u003e  \u003cp\u003e3.2.1. Devices\/Sensors \u003c\/p\u003e  \u003cp\u003e3.2.2. Connectivity \u003c\/p\u003e  \u003cp\u003e3.2.3. Data Processing \u003c\/p\u003e  \u003cp\u003e3.2.4. User Interface \u003c\/p\u003e  3.3. IoMedT Components \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e3.3.1. Patient and Payer \u003c\/p\u003e  \u003cp\u003e3.3.2. Connected Medical Devices \u003c\/p\u003e  \u003cp\u003e3.3.3. Communication Services (Connectivity) \u003c\/p\u003e  \u003cp\u003e3.3.4. Analytics Platform (Data Processing\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e3.3.5. Service Providers \u003c\/p\u003e  \u003cp\u003e3.4. Integration of Latest Technology with IoMedT \u003c\/p\u003e  \u003cp\u003e3.5. Benefits and Challenges of IoMedT \u003c\/p\u003e  \u003cp\u003e3.5.1. Benefits of IoMedT \u003c\/p\u003e  \u003cp\u003e3.5.2. Challenges in IoMedT\u003c\/p\u003e  Conclusion\u003cp\u003e\u003c\/p\u003e  \u003cp\u003eReferences\u003c\/p\u003e  \u003cp\u003e4. Chapter \u003c\/p\u003e  \u003cp\u003e4.1. Introduction to Smart healthcare and IoMT\u003c\/p\u003e  \u003cp\u003e4.2. Perception layer - Sensor systems for data collection \u003c\/p\u003e  \u003cp\u003e4.2.1. Gateway layer \u003c\/p\u003e  4.2.2. Management service layer\/application support layer- data storage \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e4.2.3. Application\/service layer \u003c\/p\u003e  \u003cp\u003e4.3. IoMT: A boon in healthcare\u003c\/p\u003e  \u003cp\u003e4.4. Challenges of IoMT \u003c\/p\u003e  \u003cp\u003e4.5. Benefits of IoMT \u003c\/p\u003e  \u003cp\u003e4.6. Structural components of IoMT \u003c\/p\u003e  \u003cp\u003e4.7. Functional components of IoMT\u003c\/p\u003e  \u003cp\u003e4.8. Structural and Functional Challenges \u003c\/p\u003e  \u003cp\u003eConclusion\u003c\/p\u003e  \u003cp\u003eReferences\u003c\/p\u003e  \u003cp\u003e5. Chapter\u003c\/p\u003e  \u003cp\u003e5.1. Introduction\u003c\/p\u003e  \u003cp\u003e5.2. Working of Blockchain \u003c\/p\u003e  \u003cp\u003e5.2.1. Distributed Database\u003c\/p\u003e  \u003cp\u003e5.2.2. A network of nodes\u003c\/p\u003e  \u003cp\u003e5.2.3. Building Trust\u003c\/p\u003e  \u003cp\u003e5.3. Benefits of Blockchain Technology\u003c\/p\u003e  \u003cp\u003e5.3.1. Time-saving\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e5.3.2. Cost-saving \u003c\/p\u003e  \u003cp\u003e5.3.3. Tighter security\u003c\/p\u003e  \u003cp\u003e5.4. Application of Blockchain \u003c\/p\u003e  \u003cp\u003e5.4.1. Asset Management \u003c\/p\u003e  \u003cp\u003e5.4.2. Cross-Border Payments \u003c\/p\u003e  5.4.3. Healthcare \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e5.4.4. Cryptocurrency \u003c\/p\u003e  \u003cp\u003e5.4.5. Birth and Death Certificates \u003c\/p\u003e  \u003cp\u003e5.4.6. Online Identity Verification\u003c\/p\u003e  \u003cp\u003e5.4.7. Internet of Things \u003c\/p\u003e  \u003cp\u003e5.4.8. Copyright and Royalties \u003c\/p\u003e  \u003cp\u003e5.5. Application of Blockchain in Smart Healthcare \u003c\/p\u003e  \u003cp\u003e5.5.1. Research \u003c\/p\u003e  \u003cp\u003e5.5.2. Seamless switching of patients between providers \u003c\/p\u003e  \u003cp\u003e5.5.3. Faster, cheaper, better patient care \u003c\/p\u003e  \u003cp\u003e5.5.4. Interoperable electronic health records \u003c\/p\u003e  5.5.5. Data security \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e5.5.6. Mobile health apps and remote monitoring \u003c\/p\u003e  \u003cp\u003e5.5.7. Tracing and securing medical supplies \u003c\/p\u003e  \u003cp\u003e5.5.8. Health insurance claims \u003c\/p\u003e  \u003cp\u003e5.5.9. Tracking diseases and outbreaks \u003c\/p\u003e  \u003cp\u003e5.5.10. Safeguarding genomics \u003c\/p\u003e  \u003cp\u003eConclusion\u003c\/p\u003e  \u003cp\u003eReferences\u003c\/p\u003e  \u003cp\u003e6. Chapter \u003c\/p\u003e  \u003cp\u003e6.1. Introduction\u003c\/p\u003e  \u003cp\u003e6.2. Possible Security Attacks in DMR Internet of Things Networks\u003c\/p\u003e  \u003cp\u003e6.3. Security Schemes and There Challenges in DMR\u003c\/p\u003e  \u003cp\u003eConclusion\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003eReferences\u003c\/p\u003e  \u003cp\u003e7. Chapter\u003c\/p\u003e  \u003cp\u003e7.1. Introduction \u003c\/p\u003e  \u003cp\u003e7.2. Benefits of IoMT in Smart Healthcare \u003c\/p\u003e  7.2.1. Cost Reduction \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e7.2.2. Improve Treatment \u003c\/p\u003e  \u003cp\u003e7.2.3. Faster Disease Diagnosis \u003c\/p\u003e  \u003cp\u003e7.2.4. Drug and Equipment Management \u003c\/p\u003e  \u003cp\u003e7.2.5. Error Reduction \u003c\/p\u003e  \u003cp\u003e7.3. Tools and Technique for IoMT in Smart Healthcare \u003c\/p\u003e  \u003cp\u003e7.3.1. Electronic Health Record (EHR) \u003c\/p\u003e  \u003cp\u003e7.3.2. Referral Trackers \u003c\/p\u003e  \u003cp\u003e7.3.3. Patient Portals \u003c\/p\u003e  \u003cp\u003e7.3.4. Remote Patient Monitoring \u003c\/p\u003e  \u003cp\u003e7.3.5. Computerized Provider Order Entry \u003c\/p\u003e  7.4. Use case of IoMT in Healthcare Industry \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e7.4.1. Internet of things for patients\u003c\/p\u003e  \u003cp\u003e7.4.2. Internet of things for Hospitals \u003c\/p\u003e  \u003cp\u003e7.4.3. Internet of things for Physicians\u003c\/p\u003e  \u003cp\u003e7.4.4. Internet of things for Business \u003c\/p\u003e  7.4.5. Internet of things for Health Insurance Companies \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e7.5. Privacy and Security Issue in IoMT\u003c\/p\u003e  \u003cp\u003e7.5.1. Patients are not in charge of their own information \u003c\/p\u003e  \u003cp\u003e7.5.2. Present to Your Own Device (BYOD) \u003c\/p\u003e  \u003cp\u003e7.5.3. Telecommuting presents security chances \u003c\/p\u003e  7.6. Challenges of IoMT in Smart Healthcare \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e7.6.1. Underdeveloped Initiatives \u003c\/p\u003e  \u003cp\u003e7.6.2. Unavailability of Memory \u003c\/p\u003e  \u003cp\u003e7.6.3. Keeping Updated\u003c\/p\u003e  \u003cp\u003e 7.6.4. Data Security \u003c\/p\u003e  \u003cp\u003e7.6.5. Global healthcare regulations \u003c\/p\u003e  \u003cp\u003e7.6.6. Scalable Platforms \u003c\/p\u003e  \u003cp\u003e7.6.7. Data Overloading \u003c\/p\u003e  \u003cp\u003e7.7. Impact of IoMT on the future of the healthcare industry \u003c\/p\u003e  \u003cp\u003eConclusion \u003c\/p\u003e  \u003cp\u003eReferences\u003c\/p\u003e  8. Chapter \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e8.1. Introduction \u003c\/p\u003e  \u003cp\u003e8.1.1. Big Data relation with Cloud Computing \u003c\/p\u003e  \u003cp\u003e8.1.2. Relationship between IoMT and Big Data\u003c\/p\u003e  \u003cp\u003e8.1.3. Big Data and the Internet of Medical Things \u003c\/p\u003e  \u003cp\u003e8.1.4. IoT and Cloud Computing\u003c\/p\u003e  \u003cp\u003e8.1.5. Benefits of using big data, IoT and the cloud \u003c\/p\u003e  \u003cp\u003e8.2. IoMT needs to be integrated with cloud computing \u003c\/p\u003e  \u003cp\u003e8.3. Integration of IoT and Cloud Computing \u003c\/p\u003e  \u003cp\u003e8.4. Benefits of integrating IoT and cloud computing \u003c\/p\u003e  \u003cp\u003eConclusion \u003c\/p\u003e  References \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e9. Chapter \u003c\/p\u003e  \u003cp\u003e9.1. Introduction\u003c\/p\u003e  \u003cp\u003e9.1.1. IoT in Smart Healthcare Systems\u003c\/p\u003e  \u003cp\u003e9.2. Background\/Present state in Data security\u003c\/p\u003e  \u003cp\u003e9.2.1. Data Security requirements in Smart Healthcare Systems\u003c\/p\u003e  \u003cp\u003e9.3. Privacy and QoS in smart healthcare\u003c\/p\u003e  \u003cp\u003e9.4. Data Security and Privacy Issues in Healthcare \u003c\/p\u003e  \u003cp\u003e9.5. QoS Parameters for Smart Healthcare\u003c\/p\u003e  \u003cp\u003e9.6. Suggested Security Techniques to Preserve QoS\u003c\/p\u003e  \u003cp\u003eConclusion \u003c\/p\u003e  \u003cp\u003e References \u003c\/p\u003e  10. Chapter \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e10.1. Introduction\u003c\/p\u003e  \u003cp\u003e10.2. Authentication Schemes for Tele Medical Healthcare System\u003c\/p\u003e  \u003cp\u003e10.3. Processes of an authentication protocol\u003c\/p\u003e  Conclusion \u003cp\u003e\u003c\/p\u003e  \u003cp\u003eReferences \u003c\/p\u003e  \u003cp\u003e11. Chapter \u003c\/p\u003e  \u003cp\u003e11.1. Introduction\u003c\/p\u003e  \u003cp\u003e11.1.1. Security \u003c\/p\u003e  \u003cp\u003e11.1.2. Features\u003c\/p\u003e  \u003cp\u003e11.2. Types of Blockchain Networks \u003c\/p\u003e  \u003cp\u003e11.2.1. Public blockchain network \u003c\/p\u003e  11.2.2. Private blockchain network\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e11.2.3. Permissioned blockchain network\u003c\/p\u003e  \u003cp\u003e11.2.4. Consortium Blockchain networks\u003c\/p\u003e  \u003cp\u003e11.3. Applications of Blockchain\u003c\/p\u003e  11.3.1. Smart contracts\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e11.3.2. Involving Blockchain into Internet of Things (IOT)\u003c\/p\u003e  \u003cp\u003e11.3.3. Preventing Identity Theft \u003c\/p\u003e  \u003cp\u003e11.4. Application of Blockchain in Smart Healthcare\u003c\/p\u003e  11.4.1. Keeping transparency in delivering healthcare goods\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e11.4.2. Storing of medical data of patients\u003c\/p\u003e  \u003cp\u003e11.4.3. Remote health monitoring using IOT and blockchain \u003c\/p\u003e  \u003cp\u003e11.5. Electronic Health Record (EHR) and its Storage\u003c\/p\u003e  11.5.1. Medical Big Data Mining and Processing in e-Healthcar\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e11.5.2. Smart healthcare systems using big data\u003c\/p\u003e  \u003cp\u003e11.6. Significance of Blockchain in Security of Electronic Health Record (EHR)\u003c\/p\u003e  \u003cp\u003eConclusion\u003c\/p\u003e  \u003cp\u003eReferences \u003cbr\u003e\u003c\/p\u003e  \u003cp\u003e12. Chapter \u003c\/p\u003e  \u003cp\u003e12.1. Introduction\u003c\/p\u003e  \u003cp\u003e12.1.1. A Different Healthcare World\u003c\/p\u003e  \u003cp\u003e12.2. Components of Telemedicine\u003c\/p\u003e  \u003cp\u003e12.2.1. Teleconsultation\u003c\/p\u003e  \u003cp\u003e12.2.2. Telementoring\u003c\/p\u003e  \u003cp\u003e12.2.3. Telemonitoring\u003c\/p\u003e  \u003cp\u003e12.3. Emerging technologies in telemedicine \u003c\/p\u003e  \u003cp\u003e12.3.1. Technologies proceeding telemedicine\u003c\/p\u003e  \u003cp\u003e12.3.2. mRNA Technology\u003c\/p\u003e  \u003cp\u003e12.3.3. Neurotechnology\u003c\/p\u003e  \u003cp\u003e12.3.4. Precision Medicine\u003c\/p\u003e  \u003cp\u003e12.3.5. Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)\u003c\/p\u003e  \u003cp\u003e12.3.6. Health Wearables\u003c\/p\u003e  \u003cp\u003e12.3.7. Technology in Mental Health\u003c\/p\u003e  \u003cp\u003e12.3.8. Artificial Intelligence\u003c\/p\u003e  \u003cp\u003e12.3.9. Augmented and virtual reality\u003c\/p\u003e  \u003cp\u003e12.3.10. Tele-robots \u003c\/p\u003e  \u003cp\u003e12.3.11. IoT and nanotechnology \u003c\/p\u003e  \u003cp\u003e12.3.12. 3D Printing\u003c\/p\u003e  \u003cp\u003e12.3.13. Enhanced Access to Medical Data and Information\u003c\/p\u003e  \u003cp\u003e12.3.14. Big Data\u003c\/p\u003e  \u003cp\u003e12.3.15. Improved Lines of Communication\u003c\/p\u003e  \u003cp\u003e12.3.16. Electronic Health Records\u003c\/p\u003e  \u003cp\u003e12.3.17. Metaverse\u003c\/p\u003e  \u003cp\u003eConclusion \u003c\/p\u003e  \u003cp\u003eReferences \u003c\/p\u003e  13. Chapter\u003cp\u003e\u003c\/p\u003e  \u003cp\u003e13.1. Introduction\u003cbr\u003e\u003c\/p\u003e  \u003cp\u003e13.1.1. AI and Machine Learning \u003c\/p\u003e  \u003cp\u003e13.1.2. Cloud Computing \u003c\/p\u003e  \u003cp\u003e13.1.3. Cyber security\/Cloud Security \u003c\/p\u003e  \u003cp\u003e13.2. Role of Artificial Intelligence, Cloud Computing, and Internet Security in Smart Healthcare  \u003c\/p\u003e  \u003cp\u003e13.2.1. Artificial Intelligence and Machine Learning (AIML) in Healthcare Systems 182 \u003c\/p\u003e  13.2.2. Early Cancer Diagnosis \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e13.2.3. Diagnosis of Fatal Blood Diseases \u003c\/p\u003e  \u003cp\u003e13.2.4. Customer Service Chatbots \u003c\/p\u003e  \u003cp\u003e13.2.5. Managing the Medical Records \u003c\/p\u003e  13.2.6. Dosage Errors \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e13.2.7. Robotic Surgeries \u003c\/p\u003e  \u003cp\u003e13.3. Cloud Computing in Healthcare Systems \u003c\/p\u003e  \u003cp\u003e13.4. Security Challenge in Smart Healthcare \u003c\/p\u003e  \u003cp\u003eConclusion\u003c\/p\u003e  \u003cp\u003eReferences  \u003c\/p\u003e  \u003cp\u003e14. Chapter  \u003c\/p\u003e  \u003cp\u003e14.1. Introduction \u003c\/p\u003e  14.1.1. Capturing storage techniques for healthcare data \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e14.1.2. About Healthcare Data \u003c\/p\u003e  \u003cp\u003e14.1.3. Data storage \u003c\/p\u003e  \u003cp\u003e14.1.4. Onsite data storage \u003c\/p\u003e  \u003cp\u003e14.1.5. Public cloud data storage \u003c\/p\u003e  \u003cp\u003e14.1.6. Hybrid cloud data storage solution \u003c\/p\u003e  \u003cp\u003e14.1.7. Benefits of storing data on the cloud from multiple sources \u003c\/p\u003e  \u003cp\u003e14.2. ML-enabled storage systems \u003c\/p\u003e  \u003cp\u003e14.3. The current state of technology \u003c\/p\u003e  \u003cp\u003e14.4. Enhancing existing Enterprise Data Warehouses (EDW) \u003c\/p\u003e  \u003cp\u003e14.5. Background work \u003c\/p\u003e  14.6. ML techniques for treatment of healthcare data \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e14.7. Smart access techniques for storage systems \u003c\/p\u003e  \u003cp\u003e14.8. Prediction of diseases on healthcare data, both batch, and real-time data streams 197 \u003c\/p\u003e  \u003cp\u003eConclusion  \u003c\/p\u003e  References  \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e15. Chapter  \u003c\/p\u003e  \u003cp\u003e15.1. Introduction \u003c\/p\u003e  \u003cp\u003e15.2. Smart Healthcare Tools and Techniques \u003c\/p\u003e  15.2.1. Cloud Computing in Smart Healthcare \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e15.2.2. Medical Records Centralization \u003c\/p\u003e  \u003cp\u003e15.2.3. Promoting Patient Engagement \u003c\/p\u003e  \u003cp\u003e15.2.4. Better Scalability \u003c\/p\u003e  15.2.5. Cost-Effectiveness \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e15.2.6. Advanced Analytics for Healthcare \u003c\/p\u003e  \u003cp\u003e15.3. Current and Future application of AI, IoT, Blockchain and Cloud Computing in Smart Healthcare  . 210 \u003c\/p\u003e  \u003cp\u003e15.3.1. Applications of Artificial Intelligence in Smart Healthcare \u003c\/p\u003e  \u003cp\u003e15.3.2. Machine learning neural networks and deep learning \u003c\/p\u003e  \u003cp\u003e15.3.3. Physical robots 15.3.4. Natural language processing (NLP) \u003c\/p\u003e  \u003cp\u003e15.3.5. Applications of Internet of Things (IoT) in Smart Healthcare\u003c\/p\u003e  15.3.6. Applications of Blockchain in Smart Healthcare \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e15.3.7. Applications of Cloud Computing in Smart Healthcare \u003c\/p\u003e  \u003cp\u003e15.4. Challenges in Smart Healthcare \u003c\/p\u003e  \u003cp\u003e15.4.1. Availability \u003c\/p\u003e  15.4.2. Data Centralization  \u003cp\u003e15.4.3. Privacy\/Security \u003c\/p\u003e  \u003cp\u003e15.4.4. Open Access\u003c\/p\u003e  15.5. Future of Smart Healthcare and Telemedicine\u003cp\u003e\u003c\/p\u003e  \u003cp\u003eConclusion\u003c\/p\u003e  \u003cp\u003eReferences\u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":49415694942551,"sku":"9783031188954","price":134.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783031188954.jpg?v=1791480639"}],"url":"https:\/\/bookcurl.com\/collections\/applications-in-industry-and-technology.oembed?page=3","provider":"Book Curl","version":"1.0","type":"link"}