Applications in industry and technology Books

Book SynopsisMeghan Casey 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. Meghan 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. A 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.Table of ContentsPART I: GET BUDGET AND BUY-IN 1 IDENTIFY PROBLEMS AND OPPORTUNITIES 2 CONVINCE LEADERS AND GET THE RESOURCES PART II: SET UP FOR SUCCESS 3 GET STAKEHOLDERS ON BOARD 4 ASSEMBLE YOUR CROSS‑DISCIPLINE TEAM 5 PREPARE FOR CHANGE PART III: DIG IN AND GET THE DIRT 6 UNDERSTAND YOUR BUSINESS ENVIRONMENT 7 LEARN ABOUT YOUR AUDIENCE AND USERS 8 GET FAMILIAR WITH YOUR CONTENT 9 EVALUATE YOUR PROCESSES PART IV: ARTICULATE YOUR STRATEGY 10 ALIGN ON A STRATEGIC FOUNDATION 11 SET YOUR CONTENT COMPASS PART V: DESIGN YOUR CONTENT 12 PRIORITIZE BASED ON YOUR STRATEGY 13 ORGANIZE FOR INTUITIVE WAYFINDING 14 DEFINE THE CONTENT EXPERIENCE 15 SPECIFY CONTENT STRUCTURE AND REQUIREMENTS PART VI: IMPLEMENT AND EVOLVE 16 DEFINE HOW YOU'LL GOVERN YOUR CONTENT 17 BUILD OUT YOUR CONTENT PLAYBOOK

Read more less

Book SynopsisTable of ContentsGetting Started 1 Getting Acquainted 2 Creating Graphics and Text 3 Animating Symbols 4 Advanced Motion Tweening 5 Character Animation with Tweens 6 Character Animation with Bones 7 Animating the Camera 8 Animating Shapes and Using Masks 9 Creating Interactive Navigation 10 Working with Sound and Video 11 Publishing Index

Read more less

Book SynopsisKelly Kordes Anton has written and edited dozens of books and training resources on publishing technologies and InDesign, including nine previous editions of Adobe InDesign Classroom in a Book. She is a freelance writer based in Littleton, Colorado, and she also writes about ergonomics and lean manufacturing. Tina DeJarld 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.Table of ContentsGetting 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

Read more less

Book SynopsisTable of ContentsGetting 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

Read more less

Book Synopsis

Read more less

Book Synopsis

Read more less

Book SynopsisThis book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams.Trade ReviewEngaging in data science requires diplomacy for maximal impact. 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 CapitalWinning with Data Science 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 Infinite PowersFriedman 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 AGWinning with Data Science 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 Data Science for Public PolicyA terrific work. Winning with Data Science 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 MBA Fundamentals: StatisticsFriedman 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 & Liveable Cities, Victoria UniversityIn 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, Winning with Data Science is a must-read. -- Ken Kuang, entrepreneur, and Founder, Torrey Hills TechnologiesBy 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-STATSWinning with Data Science 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 SummitTable of ContentsAcknowledgmentsIntroduction1. Tools of the Trade2. The Data Science Project3. Data Science Foundations4. Making Decisions with Data5. Clustering, Segmenting, and Cutting Through the Noise6. Building Your First Model7. Tools for Machine Learning8. Pulling It Together9. EthicsConclusionNotesIndex

Read more less

Book SynopsisTable of ContentsDraft format and toc 1.The History of the CT Scan: How Computer-Assisted Tomography Changed the Landscape of Surgical Planning. We will review the advent of the CT scan, the evolution of CT technology, the different types of CT, and how the advances in technology led to the ability to model and plan surgeries. 2. DiY Stereolithography and 3D Printing The reader will learn about the history of stereolithography (3D models), the indications for stereolithography (when to use it), and given a "how to do it yourself" course enabling them to make their own 3D printed models in preparation of surgery (video). 3. Virtual Surgical Planning in Orthognathic Surgery: A Practical Workflow The reader will be given practical steps on how to plan for an orthognathic case, starting with a CT scan, appropriate models, and planning goals. 4. Virtual Surgical Planning in Head and Neck Reconstruction: A Practical Workflow The reader will be given practical steps on how to plan for a head and neck oncologic case, starting with a CT scan, appropriate models, and planning goals. 5. Virtual Surgical Planning in Cranial Surgery and Craniosynostosis: A Practical Workflow The reader will be given practical steps on how to plan for a cranial surgery (skull) case, starting with a CT scan, appropriate models, and planning goals. 6. ABC in Surgical Navigation The reader will learn the techniques of using navigation and computer-assisted guidance in the operating room with informative videos from illustrative cases. 7. Virtual Reality in Craniofacial Surgery The reader will get a primer on the use of virtual reality and augmented reality in surgical planning and in the operating room. 8. Robots in Craniofacial Surgery The reader will be given a futuristic view of the use of robots in craniofacial surgical cases

Read more less

Book Synopsis

Read more less

Book SynopsisAmazon's despoticautomation and surveillance technologies may well be its downfallTrade Review'This accessible and richly detailed book brings together fascinating interviews with Italian Amazon workers, historical and economic analysis, and thoughtful critique' -- 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'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' -- Dania Rajendra, Inaugural Director, Athena Coalition‘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’ -- Veena Dubal, Professor of Law, University of California, Hastings College of Law‘Deftly examines the dichotomy between Amazon's public personas and its union-busting, worker-surveilling behavior in fulfillment centers around the world’ -- ‘Engadget’Table of ContentsList of figures A note on methods Acknowledgments 1. Relentless 2. Work hard 3. Have fun 4. Customer obsession 5. Reimagine now 6. Make history Notes Index

Read more less

Book SynopsisUnlocking the Metaverse Highly comprehensive resource providing insight into how the Metaverse, and digital worlds in general, can be leveraged for business success Unlocking the Metaverse focuses on the strategic implementation of processes and the execution of Metaverse strategies, technologies, and innovations and provides readers with real world tools and strategies to succeed with market demands. The text provides a clear and concise description of what the Metaverse is and what its value means to readers and their companies. A 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. Unlocking the Metaverse covers sample topics such as: ConTable of ContentsAbout the Author ix Acknowledgments xi List of Acronyms xiii Introduction: How to Use This Book xv Chapter 1: Definitions 1 Metaverse 1 Digital Twin 4 Virtual Worlds 6 Blockchain 7 Fungible Token (FT) 8 Non-fungible Token (NFT) 8 Smart Contracts 9 Tokenomics 11 GPT 11 Chapter 2: Digital Twins, Virtual Worlds, and the Metaverse 14 Digital Twins 14 Gaming 20 Monetization 22 Virtual Worlds 23 Reality Capture and Motion Capture 24 Chase Olson – Reality Capture 25 Avatars 30 Avatar Interface 31 Avatars as Metahumans/Humanoids (MoCap) 32 NPCs as Reference Oracles 32 Virtual Worlds in the Metaverse Examples 34 Cybersecurity and Safety 37 Metaverse 38 Industrial Metaverse 41 Chapter 3: Metaverse Mechanisms and Solutions 44 Blockchain 45 Workflows 46 Capital Asset Delivery Using Smart Contracts Workflow 46 Construction Documents as the Digital DNA of the Built Environment 47 Ethereum blockchain 47 Digital Twin 48 Geo Location and Workflow 48 Facility Management 49 Challenges 49 Governance in a Decentralized Digital Environment 51 Cybersecurity 51 Trust 52 Data 53 Avatars 53 Smart Contracts 53 Value Propositions 53 Increased Efficiency 54 Improved Data Collection and Analysis 54 Accurate and Trusted Facility Data and Information 54 Tokenomics 55 Woven Collisions: NFTs and the Metaverse 56 LOE 58 Real-Estate-Backed Digital Asset Securities 59 Web 3 60 AI 61 GPT 63 ChatGPT Model 65 Chapter 4: The Crystal Ball 67 Scarcity and Abundance 69 Edge Computing 70 Censorship 72 Thought Leader Interviews 73 Damon Hernandez – The Metaverse 73 Hugh Seaton – Data 86 Cody Nowak – Process 97 Arol Wolford – The Industry's Future 104 Conclusion 109 Index 113

Read more less

Book SynopsisThis publication is sponsored by the American Association for Medical Systems and Informatics. The Board of AAMSI and the Board of the Society for Computer Medicine, one of AAMSI''s predecessors, agreed that a book on application of medical systems and informatics for the practitioner would help promote high quality health care and they charged the Committee on Standards of the Society for Computer Medicine to write such a text. It is intended as a guide for the field of medical systems and informatics with emphasis on standards, terminology, and coding systems. The text, a result of three years of research and effort, has been reviewed by the Board of Directors of AAMSI and approved by the Publications Committee. We believe that you will find it valuable and hope to revise it from time to time to meet current needs. On behalf of the members of the Association, we congratulate thTable of ContentsI Introduction to Accounting Systems.- 1 Beyond Billing: Some Things You Should Know Before You Begin.- 2 What Sort of Data Should Be Collected and Why?.- 3 The Accounting Module.- II Introduction to Administrative Systems.- 4 The Administration Module.- III Introduction to Health Care Delivery Systems.- 5 How Computers Can Help in Patient Care and Practice (Health Care Delivery).- 6 How Physician Professional Education and Development Can Be Enhanced by Computers.- 7 The Medical Record Summary, Contents, and Utilization.- 8 History Gathering Techniques Via the Computer.- 9 Supervising and Keeping Track of Patient Care.- 10 Quality Assessment and Quality Control of Patient Care.- 11 Patient/Parent/Family Educational Assists.- IV Introduction to Planning, Vendors, and Implementation.- 12 Planning for Automation: The Total Office Practice System.- 13 Be Prepared to Give, Not Receive, the Sales Pitch.- 14 Problems with System Implementation.- 15 Office Computing and the Right to Privacy.- 16 Summary.- Appendices.

Read more less

Book SynopsisStatistical Methods for Dynamic Treatment Regimes shares state of the art of statistical methods developed to address questions of estimation and inference for dynamic treatment regimes, a branch of personalized medicine.Trade ReviewFrom the reviews:"Overall, the book provides an excellent reviewof DTRs up to date. After finishing reading the book, I planned to create a post-graduate seminar course on this topic using this book as a textbook. I enthusiastically recommend this book. This book will be a valuable reference for anyone interested and involved in research on personalized medicine." (Hyonggin An, Journal of Agricultural, Biological, and Environmental Statistics, April, 2015)“The intended audience includes physicians, clinical researchers, physicians in training, statisticians, and medical students, as well as master’s and doctoral students in the field of biostatistics and epidemiology and computer scientists. … This book provides a concise summary of the key findings in the statistical literature of dynamic treatment regimes. … The simple language and well-organized chapters are unsurpassed attributes of this book. It will be an exceptional resource for quick review.” (Parthiv Amin, Doody’s Book Reviews, November, 2013)Table of ContentsIntroduction.- The Data: Observational Studies and Sequentially Randomized Trials.- Statistical Reinforcement Learning.- Estimation of Optimal DTRs by Modeling Contrasts of Conditional Mean Outcomes.- Estimation of Optimal DTRs by Directly Modeling Regimes.- G-computation: Parametric Estimation of Optimal DTRs.- Estimation DTRs for Alternative Outcome Types.- Inference and Non-regularity.- Additional Considerations and Final Thoughts.- Glossary.- Index.- References.

Read more less

Book SynopsisFor 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. But 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. But the broom didn't know how to behave, and the apprentice no longer understood the thing he had made. The challenge of this next generation of robots is that, like the apprentice's broom, they will wreak complete havoc, inadvertently hurting or even killing people, unless we can recognize a simple truth: collaborative robots will be the first truly social creatures that technology has created. They will need to know how to behave in unfamiliar spaces and around untrained users and bystanders.Robot experts Julie Shah and Laura Major are among those engineers leading the development of collaborative robots, and in this book, they will offer their vision for how to make it in the new era of human-robot collaboration. They set out the blueprint for what they call working robots, which in many ways resemble service animals, and take readers through the many fascinating and surprising challenges that both engineers and the public will need to address in figuring out these machines can be responsibly integrated into society: what they will have to look like, how they will have to talk to strangers and what robot etiquette will be, whether we will have to "robot-proof" public spaces and infrastructure, and how the safety-critical work of human-robot collaboration will force a sea change in how the tech industry is regulated. Today, we still gawk at a car that drives by without a driver. Tomorrow, you might find yourself driving next to five of them. We can debate whether the singularity will ever come, but robots need not be superintelligent in order to revolutionize our relationship to technology. Read this book to find out how.

Read more less

Book Synopsis- Practical in its scope and coverage, the authors have provided a tool-kit for the medical professional in the often complex field of medical informatics - All editors are from the Geisinger Health System, which has one of the largest Electron Health systmes in the USA, and is high in the list of the AMIA "100 Most Wire" healthcare systems - Describes the latest successes and pitfalls Table of ContentsIntroduction.- Preparation.- Organizational Climate.- Needs Assessment.- Vendor Selection and Contract Negotiation.- Infrastructure.- Workflow Assessment and Redesign.- Staffing and Managing Implementation Teams.- Support.- Usability.- Training.- Clinical Decision Support.- Translating Scope of Practice into Effective EHR Workflows.- System Integration.- Production Support.- Managing the Client-Vendor Partnership.- Implementation.- Phased Implementation.- Optimizing Primary-Care Practices.- Optimizing Specialty Practices.- Special-Purpose Software.- Optimizing Inpatient Care.- Extending EHR Access to Patients.- Extending EHR Access to External Physicians.- Summary and Prospect.

Read more less

Book SynopsisThis 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. Developing Medical Apps and mHealth Interventions 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.Table of ContentsIntroduction 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.

Read more less

Book SynopsisThis 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. Mental Health Informatics: Enabling a Learning Mental Healthcare System 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. Table of ContentsPrecision 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.

Read more less

Book SynopsisThis 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. Provides current research, developments, and applications in pervasive healthcare; Includes technologies such as machine learning, cryptography, fog computing, and big data in the advancement of e-healthcare; Pertinent for researchers, students, practitioners and healthcare decision makers. Table of ContentsIntroduction.- 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.

Read more less

Book SynopsisThis 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. Healthcare Information Technology for Cardiovascular Medicine: Telemedicine & Digital Health 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.Table of ContentsAn 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.

Read more less

Book SynopsisThis 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. Table of ContentsIntroduction.- 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.

Read more less

Book SynopsisThis 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.Applied Statistical Considerations for Clinical Researchers 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.Table of ContentsIntroduction.- Preliminaries.- Design.- Planning.- Data Acquisition.- Data Manipulation Analysis.- Inferencesty.- Dissemination.- A Case Study.- Conclusions.

Read more less

Book SynopsisThis 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.Table of ContentsIntroduction.- 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.

Read more less

Book SynopsisThere 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.Table of ContentsSection 1: Medical Image Analysis using Artificial Intelligence Use of Deep Learning in Biomedical Imaging Detection of Breast Cancer Masses in Mammogram Images with Watershed Segmentation and Machine Learning Approach Cloud-based Glaucoma Diagnosis in Medical Imaging using Machine Learning Leucocytic Cell Nucleus Identification using Boundary Cell Detection algorithm with Dilation and Erosion based Morphometry Effective Prediction of Autism Using Ensemble Method Section 2: Artificial Intelligence (AI) Classification Models for COVID-19 Pandemic Automatic Classification of COVID-19 infected patients using Convolution Neural Network Models AI-Based Deep Random Forest Ensemble Model for Prediction of COVID-19 and Pneumonia from Chest X-Ray Images Section 3: Use of AI-Enabled IoT in Healthcare Internet of Things and Artificial Intelligence in Biomedical Systems Role of IoT in Healthcare Sector for Monitoring Diabetic Patients Section 4: Applications of Artificial Intelligence in Healthcare Low-Rank Representation based approach for subspace segmentation and clustering of biomedical image patterns Performance Comparison of Imputation Methods for Heart Disease Prediction Ayurnano: A solution towards herbal therapeutics using Artificial Intelligence approach Artificial Intelligence in Biomedical Education The Emergence of Natural Language Processing (NLP) Techniques in Healthcare AI Prospects and Difficulties of Artificial Intelligence (AI) Implementations in Naturopathy

Read more less

Book SynopsisThis 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. Table of ContentsContigo: 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.

Read more less

Book SynopsisThis book provides an overview of the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system. With the arrival of advanced technologies, telehealth has become a new subject, requiring a different understanding of IT devices and of their use, to fulfill health needs. Different topics are discussed - from the basics of TeleMedicine, to help readers understand the technology from ground up, to details about the infrastructure and communication technologies to offer deeper insights into the technology. The use of IoT and cloud services along with the use of blockchain technology in TeleMedicine are also discussed. Detailed information about the use of machine learning and computer vision techniques for the proper transmission of medical data - keeping in mind the bandwidth of the network - are provided. The book will be a readily accessible source of information for professionals working in the area of information technology as well as for the all those involved in the healthcare environment.Table of Contentssee attachment

Read more less

Book SynopsisComputer software has been productive in helping individuals with cognitive disabilities. Personalizing the user interface is an important strategy in designing software for these users, because of the barriers created by conventional user interfaces for the cognitively disabled. Cognitive assistive technology (CAT) has typically been used to provide help with everyday activities, outside of cognitive rehabilitation therapy. This book describes a quarter century of computing R&D at the Institute for Cognitive Prosthetics, focusing on the needs of individuals with cognitive disabilities from brain injury. Models and methods from Human Computer Interaction (HCI) have been particularly valuable, initially in illuminating those needs. Subsequently HCI methods have expanded CAT to be powerful rehabilitation therapy tools, restoring some damaged cognitive abilities which have resisted conventional therapy. Patient-Centered Design (PCD) emerged as a design methodology which incorporates both clinical and technical factors. PCD also takes advantage of the patient's ability to redesign and refine the user interface, and to achieve a very good fit between user and system. Cognitive Prosthetics Telerehabilitation is a powerful therapy modality. Essential characteristics are delivering service to patients in their own home, having the patient's priority activities be the focus of therapy, using cognitive prosthetic software which applies Patient Centered Design, and videoconferencing with a workspace shared between therapist and patient. Cognitive Prosthetics Telerehabilitation has a rich set of advantages for the many stakeholders involved with brain injury rehabilitation.Table of ContentsIntroduction.- Some Clinical Features of the Cognitive Disabilities Domain with TBI Examples.- Adapting Computer Software to Address Cognitive Disabilities.- The Primacy of the User Interface.- Patient-Centered Design.- Cognitive Prosthetics Telerehabilitation.- The Active User and the Engaged User.- Patient Case Studies in the Use of Cognitive Assistive Technology: Successes and Failures.- Conclusions, Factors Influencing Outcomes, Anomalies, and Opportunities.- Bibliography.

Read more less

Book SynopsisThis 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".Table of ContentsAnalysis 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.

Read more less

Book SynopsisThis 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.

Read more less

Book SynopsisThis 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".Table of ContentsMadrid 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.

Read more less

Book SynopsisThis 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.Artificial Intelligence and Big Data in Cardiology 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.Table of ContentsIntroduction.- 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.

Read more less

Book SynopsisThis 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.This 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.This is an open access book.Table of ContentsI. Policyi. Regulatorsiii. Patient Engagementiv. Legalv. SustainabilityII. Practicei. Bridging legacy instrumentsii. QPROMSiii. PROMiv. Visual Functioning daily activities item bankv. Neuromuscular disease clinical trialsIII. Methods/Methodologyi. Qualitative - patientsii. Qualitative - cliniciansiii. Psychometric analysis – Rasch Modeliv. Mixed methodsv. Construct Specification EquationsIV. Theory/History/Philosophyi. A history of social measurementii. A history of clinical outcomesiii. Validityiv. Rasch Measurement Theoryv. Linking social measurement to person centered outcome metrology

Read more less

Book SynopsisThis 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. Computational 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: Computational methods for understanding human complexity Image and signal analysis Multidimensional medical data analysis Sound and motion Joint activities in biomedical engineering and physiotherapy This 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.Table of ContentsClassifying 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.

Read more less

Book SynopsisArtificial 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. This 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.In 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.Table of ContentsAn Introduction to Artificial Intelligence in Healthcare.- Radiomics: Approach to Precision Medicine.- Artificial Intelligence Based Strategies for Data-Driven Radial MRI.

Read more less

Book SynopsisIn line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on “Artificial Intelligence and Machine Learning for Healthcare”. The first volume is focused on utilization of AI and ML for image and data analytics in the medical and healthcare domains. In this second volume, emerging methodologies and future trends in AI and ML for advancing medical treatments and healthcare services are presented. The selected studies in this book provide readers a glimpse on current progresses in AI and ML for undertaking a variety of healthcare-related tasks. The advances in AI and ML technologies for future healthcare are also discussed, shedding light on the potential of AI and ML to realize the next-generation medical treatments and healthcare services for the betterment of our global society. Table of ContentsArtificial Intelligence for the future of medicine.- A Survival Analysis Guide in Oncology.- Social Media Sentiment Analysis related to COVID-19 Vaccinations.- Healthcare support using data mining: A case study on stroke prediction.

Read more less

This 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. Health Information Systems: Technological and Management Perspectives features 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.

Read more less

Book SynopsisThis 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. Health Information Systems: Technological and Management Perspectives features 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.Table of ContentsIntroduction.- 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.

Read more less

Book SynopsisThis book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.Table of Contents1. Pandemic effect of COVID-19: Identification, Present scenario and preventive measures using Machine learning model..- 2. A Comprehensive Review of the Smart Health Records to prevent Pandemic.- 3. Automation of COVID-19 Disease Diagnosis from Radiograph.- 4. Applications of Artificial Intelligence in the attainment of Sustainable Development Goals.- 5. A Novel Model for IoT Blockchain Assurance Based Compliance to COVID Quarantine.- 6. DEEP LEARNING BASED CONVOLUTIONALNEURAL NETWORK WITH RANDOM FOREST APPROACH FOR MRI BRAIN TUMOUR SEGMENTATION .- 7. Expert systems for improving the effectiveness of remote health monitoring in Covid-19 Pandemic - A Critical Review.- 8. Artificial Intelligence-based predictive tools for Life-threatening diseases.- 9. Deep Convolutional Generative Adversarial Network for Metastatic Tissue Diagnosis in Lymph Node Section.- 10. Transformation in Health Sector during Pandemic by Photonics Devices .- 11. DIAGNOSIS OF COVID-19 FROM CT IMAGES AND RESPIRATORY SOUND SIGNALS USING DEEP LEARNING STRATEGIES.- 12. The Role of Edge Computing in Pandemic and Epidemic Situations with its Solutions.- 13. Advances and application of Artificial Intelligence and Machine learning in the field of cardiovascular diseases and its role during the Pandemic condition.- 14. Effective Health Screening and Prompt Vaccination to Counter the Spread of Covid-19 and Minimize its Adverse Effects.- 15. CROWD DENSITY ESTIMATION USING NEURAL NETWORK FOR COVID’19 AND FUTURE PANDEMICS.- 16. “Role of digital healthcare in rehabilitation during pandemic”.- 17. AN EPIDEMIC OF NEURODEGENERATIVE DISEASE ANALYSIS USING MACHINE LEARNING TECHNIQUES.- 18. Covid-19 Growth Curve Forecasting for India using Deep Learning Techniques.

Read more less

Book SynopsisThis volume LNCS 13912 constitutes the refereed proceedings of the 20th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2023, in June 12-13, 2023 in Quebec City, QC, Canada. The 9 full papers presented together with 2 short papers were carefully reviewed and selected from 14 submissions. The conference focuses on topics such as Sensors Networks and Data Steaming; Mobility and Navigation; AI for Mobility Data Analytics; Volunteered Geographic information (VGI); Network Analysis and Geovisualization.Table of ContentsKeynote.- An approach for geosensor network optimization to support decisions at multiple Scale.- Sensors Networks and Data Steaming.- Towards Integration of Spatial Context in Building Energy Demand Assessment Supported by CityGML Energy Extension.- Three-stage Framework to Estimate Pedestrian Path by Using Signaling Data and Surveillance Video.- Mobility and Navigation.- Investigating the Navigational Behavior of Wheelchair Users in Urban Environments Using Eye Movement Data.- New Approach for Accessibility Assessment of Side-Walks for Wheelchair Users Considering the Sidewalk Traffic.- AI for Mobility Data Analytics.- Mobility Data Analytics with KNOT: the KNime mObility Toolkit.- Bus Journey Time Prediction with Machine Learning: An Empirical Experience in Two Cities.- A Novel GIS-Based Machine Learning Approach for the Classification of Multi-Motorized Transportation Modes.- Volunteered Geographic information (VGI).- Cimemountainbot: A Telegram Bot to Collect Mountain Images and to Communicate Information With Mountain Guides.- A New Feature Matching Method for Matching OpenStreetMap Buildings with Those of Reference Dataset.- Network Analysis and Geovisualization.- Geovisualisation generation from semantic models: a state of the art.- A Heterogeneous Information Attentive Network for the Identification of Tourist Attraction Competitors.- Poly-GAN: Regularizing Polygons with Generative Adversarial Networks.

Read more less

Book SynopsisThis 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. Throughout 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. Patient Safety, 2nd edition, is an invaluable text for all physicians, healthcare workers, policymakers, and residents who are working towards a more equitable and effective healthcare system. Table of ContentsSection I: IntroductionChapter 1 - Patient safety methodologiesChapter 2 - Measuring patient safety Section II: Concepts Chapter 3 - Patient identificationChapter 4 - Teamwork and communication Chapter 5 - Transitions of Care and CommunicationsChapter 6 - Graduate medical education and patient safetyChapter 7 – Information Technology and patient safetyChapter 8–Clinical ethics and patient safetyChapter 9 – Health Equity: A key aspect of patient safety Chapter 10 – High ReliabilitySection III: ExamplesChapter 11 -Medication errorChapter 12 - Medication reconciliation error Chapter 13 - Retained surgical itemsChapter 14 - Wrong-site surgeryChapter 15 - Transfusion-related hazardsChapter 16 - Hospital-acquired infections Chapter 17–Hospital fallsChapter 18- Pressure ulcersChapter 19 - Diagnostic errorSection IV: Special considerations Chapter 20–Patient safety in pediatricsChapter 21 - Patient safety in radiology Chapter 22- Patient safety in anesthesiaChapter 23 - Patient safety in behavioral healthChapter 24–Patient safety in outpatient careChapter 25 - Patient safety in critical careChapter 26: Patient safety in long-term care and nursing homesChapter 27: Patient safety in emergency departmentSection V: Organizational issues Chapter 28–Error disclosureChapter 29–The culture of safetyChapter 30 - Second victim

Read more less

Book SynopsisThis book is a beginner's guide to AutomationML Edition 2, written for students, engineers, lecturers, developers and those interested. In guides through the basics of AutomationML Edition 2, CAEX and the AutomationML Editor. AutomationML stands for digitisation of engineering data and engineering workflows. AutomationML achieves both human readability and machine-readability. It is a method for converting data into digital information, and it supports the special needs of iterative engineering data exchange. AutomationML is in the hot spot of the digitisation of automation engineering data. It enables the modelling and transport of engineering data in a vendor neutral and machine-readable models, a valuable source of digital innovation. Machine readable engineering data makes the data accessible and interpretable by software, enabling a plethora of opportunities. This book carefully introduces AutomationML, its goals, values and innovations. It teaches the architecture of AutomationML and explains the language elements with a multitude of examples and step-by-step instructions. Additional material to the book and more information about AutomationML on the website: https://www.automationml.org/about-automationml/publications/amlbook/

Read more less

Book SynopsisArtificial intelligence advancements, machine intelligence innovations, and semantic web developments together make up semantic intelligence technologies. The edited book integrates artifi cial intelligence, machine learning, IoT, blockchain, and natural language processing with semantic web technologies. This book also aims to offer real-life solutions to the pressing issues currently being faced by semantic web technologies.

Read more less

Book SynopsisMachine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 2 covers machine learning for knowledge discovery in particle and astroparticle physics. Their instruments, e.g., particle detectors or telescopes, gather petabytes of data. Here, machine learning is necessary not only to process the vast amounts of data and to detect the relevant examples efficiently, but also as part of the knowledge discovery process itself. The physical knowledge is encoded in simulations that are used to train the machine learning models. At the same time, the interpretation of the learned models serves to expand the physical knowledge. This results in a cycle of theory enhancement supported by machine learning.

Read more less

Book SynopsisThe book presents a theoretical and technical background for applying MAS (Multi Agent Systems) in Architecture, Engineering and Construction. It focuses in the early design stage and makes use of domain specific data which relate to different design domains (structural, environmental, architectural design) to inform the agent behaviors. The proposed framework is applicable especially to design problems which traditionally require the close collaboration of engineers and architects.　

Read more less

Book SynopsisMachine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field.Table of ContentsMachine Learning for Health Informatics.- Bagging Soft Decision Trees.- Grammars for Discrete Dynamics.- Empowering Bridging Term Discovery for Cross-domain Literature Mining in the TextFlows Platform.- Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice.- Deep learning trends for focal brain pathology segmentation in MRI.- Differentiation between Normal and Epileptic EEG using K-Nearest-Neighbors Technique.- Survey on Feature Extraction and Applications of Biosignals.- Argumentation for knowledge representation, conflict resolution, defeasible inference and its integration with machine learning.- Machine Learning and Data mining Methods for Managing Parkinson’s Disease.- Challenges of Medical Text and Image Processing: Machine Learning Approaches.- Visual Intelligent Decision Support Systems in the medical field: design and evaluation.

Read more less

Book SynopsisDo interventions improve health outcomes? This volume provides a model and road map to answer clinical questions related to intervention effectiveness research, quality improvement, and program evaluations. It offers clear and simple guidance for all phases of a clinical inquiry projects from planning through dissemination and communication of results and findings. The book emphasizes the value and importance of leveraging existing data to advance research, practice, and quality improvement efforts. Intervention and Effectiveness Research is a practical guide for organizing and navigating the intersections of research and practice. Structure, process and outcome worksheets for every step are provided together with examples from diverse settings and populations to lead readers through the process of implementing their own projects. The author guides readers through the process of designing, implementing, and evaluating projects. This book is intended for teachers of DNP and PhD programs in nursing and other disciplines, their students, and healthcare leaders who need to leverage data to demonstrate care quality and outcomes.Trade Review“This is a unique book, which can be used by students and novices. It can be useful for DNP students as they develop their end-of-program projects and for nurses as they begin to work on quality improvement and program evaluation projects. There is no comparable book in the field. This would be a great addition to the library of teachers and managers to share with their students and nurses.” (Michalene A. King, Doody's Book Reviews, November, 2017)Table of ContentsBackground: Why we need this bookChapter 1. Intervention Effectiveness Research History and State of the ScienceChapter 2. Project/Program Evaluation History and State of the Science 2.1 Worksheet to compare research and evaluation for a projectChapter 3. Methods for Interventions Effectiveness Research and Program EvaluationChapter 4. Existing Data: EHR data and administrative dataChapter 5. New Data: Observational Tools and SurveysChapter 6. Interviews: Professionals and Consumers6.1 Worksheet to plan methods for a projectChapter 7. Instruments: Baseline and follow up assessmentsChapter 8. Instruments: Intervention descriptionsChapter 9. Instruments: Problem classification9.1 Worksheet to describe baseline and final assessments 9.2 Worksheet to describe interventionsChapter 10. Ethical reviewChapter 11. ImplementationChapter 12. AnalysisChapter 13. Publication

Read more less

Book SynopsisComputational Drug Discovery A comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discovery Computational Drug Discovery: Methods and Applications (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. Furthermore, 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. To offer the most up-to-date information on computational methods utilized in Computational Drug Discovery, 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. The 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 computational drug discovery. Key topics covered in the book include: Application of molecular dynamics simulations and related approaches in drug discovery The application of QM, hybrid approaches such as QM/MM, and fragment molecular orbital framework for understanding protein-ligand interactions Adoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for de novo design, and virtual screening. Techniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts. Methods for performing ultra-large-scale virtual screening for hit identification. Computational strategies for designing new therapeutic models, including PROTACs and molecular glues. In silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints. The role of computing technologies like quantum computing and cloud computing in accelerating drug discovery This book will provide readers an overview of the latest advancements in Computational Drug Discovery and serve as a valuable resource for professionals engaged in drug discovery.Table of ContentsVolume 1 Preface xv Acknowledgments xix About the Editors xxi Part I Molecular Dynamics and Related Methods in Drug Discovery 1 1 Binding Free Energy Calculations in Drug Discovery 3Anitade Ruiter and Chris Oostenbrink 2 Gaussian Accelerated Molecular Dynamics in Drug Discovery 21Hung N. Do, Jinan Wang, Keya Joshi, Kushal Koirala, and Yinglong Miao 3 MD Simulations for Drug-Target(Un)binding Kinetics 45Steffen Wolf 4 Solvation Thermodynamics and its Applications in Drug Discovery 65Kuzhanthaivelan Saravanan and Ramesh K. Sistla 5 Site-Identification by Ligand Competitive Saturation as a Paradigm of Co-solvent MD Methods 83Asuka A. Orr and Alexander D. MacKerell Jr. Part II Quantum Mechanics Application for Drug Discovery 119 6 QM/MM for Structure-Based Drug Design: Techniques and Applications 121Marc W. van der Kamp and Jaida Begum 7 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 157Oleg Borbulevych and Lance M. Westerhoff 8 Quantum-Chemical Analyses of Interactions for Biochemical Applications 183Dmitri G. Fedorov Part III Artificial Intelligence in Pre-clinical Drug Discovery 211 9 The Role of Computer-Aided Drug Design in Drug Discovery 213Stormvander Voort, Andreas Bender, and Bart A. Westerman 10 AI-Based Protein Structure Predictions and Their Implications in Drug Discovery 227Tahsin F. Kellici, Dimitar Hristozov, and Inaki Morao 11 Deep Learning for the Structure-Based Binding Free Energy Prediction of Small Molecule Ligands 255Venkatesh Mysore, Nilkanth Patel, and Adegoke Ojewole 12 Using Artificial Intelligence for de novo Drug Design and Retrosynthesis 275Rohit Arora, Nicolas Brosse, Clarisse Descamps, Nicolas Devaux, Nicolas Do Huu, Philippe Gendreau, Yann Gaston-Mathé, Maud Parrot, Quentin Perron, and Hamza Tajmouati 13 Reliability and Applicability Assessment for Machine Learning Models 299Fabio Urbina and Sean Ekins Volume 2 Preface xv Acknowledgments xix About the Editors xxi Part IV Chemical Space and Knowledge-Based Drug Discovery 315 14 Enumerable Libraries and Accessible Chemical Space in Drug Discovery 317Tim Knehans, Nicholas A. Boyles, and Pieter H. Bos 15 Navigating Chemical Space 337Akos Tarcsay, András Volford, Jonathan Buttrick, Jan-Constantin Christopherson, Máte Erdos, and Zoltán B. Szabó 16 Visualization, Exploration, and Screening of Chemical Space in Drug Discovery 365José 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 17 SAR Knowledge Bases for Driving Drug Discovery 395Nishanth Kandepedu, Anil Kumar Manchala, and Norman Azoulay 18 Cambridge Structural Database (CSD)–Drug Discovery Through Data Mining & Knowledge-Based Tools 419Francesca Stanzione, Rupesh Chikhale, and Laura Friggeri Part V Structure-Based Virtual Screening Using Docking 441 19 Structure-Based Ultra-Large Virtual Screenings 443Christoph Gorgulla 20 Community Benchmarking Exercises for Docking and Scoring 471Bharti Devi, Anurag TK Baidya, and Rajnish Kumar PartVI In Silico ADMET Modeling 495 21 Advances in the Application of In Silico ADMET Models–An Industry Perspective 497Wenyi Wang, Fjodor Melnikov, Joe Napoli, and Prashant Desai Part VII Computational Approaches for New Therapeutic Modalities 537 22 Modeling the Structures of Ternary Complexes Mediated by Molecular Glues 539Michael L. Drummond 23 Free Energy Calculations in Covalent Drug Design 561Levente M. Mihalovits, György G. Ferenczy, and György M. Keseru Part VIII Computing Technologies Driving Drug Discovery 579 24 Orion A Cloud-Native Molecular Design Platform 581Jesper 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 25 Cloud-Native Rendering Platform and GPUs Aid Drug Discovery 617Mark Ross, Michael Drummond, Lance Westerhoff, Xavier Barbeu, Essam Metwally, Sasha Banks-Louie, Kevin Jorissen, Anup Ojah, and Ruzhu Chen 26 The Quantum Computing Paradigm 627Thomas Ehmer, Gopal Karemore, and Hans Melo Index 679

Read more less

Book SynopsisTable of Contents1. Einleitung und Fragestellung.- 2. Allgemeines.- 2.1 Typische Beispiele aus der Literatur.- 2.1.1 University Group Diabetes Program (UGDP)-Studie.- 2.1.2 Coronary Drug Project (CDP) — Studie.- 2.1.3 Clofibrat Studie.- 2.2 Generelle Probleme.- 2.2.1 Inhalt von Zwischenauswertungen.- 2.2.2 Gründe für einen vorzeitigen Studienabbruch.- 2.2.3 Allgemeine methodische statistische Aspekte bei Zwischenauswertungen und Studienabbruch.- 3. Verfahrensübersicht.- 3.1 Offene Sequentialpläne.- 3.2 Geschlossene Sequentialpläne.- 3.3 Gruppensequentielle Pläne.- 3.4 Testverfahren für Lebensdauerdaten.- 3.5 Multivariate Methoden und multiple Vergleiche.- 3.6 Sonstige Verfahren.- 4. Gemischte Strategien.- 4.1 Formale Ableitung.- 4.2 Praktische Berechnung.- 4.3 Ergebnisse.- 4.4 Vergleiche mit den bisherigen Verfahren.- 5. Verfahrensvergleiche bei Lebensdauerdaten durch Simulation.- 5.1 Simulationsmodell.- 5.2 Simulation und Ergebnisse.- 6. Schlußfolgerungen.- 7. Zusammenfassung.- 8. Literatur.- 9. Anhang.

Read more less

Book SynopsisValuation is a hot topic among life sciences professionals. There is no clear understanding on how to use the different valuation approaches and how to determine input parameters. Some do not value at all, arguing that it is not possible to get realistic and objective numbers out of it. Some claim it to be an art. In the following chapters we will provide the user with a concise val- tion manual, providing transparency and practical insight for all dealing with valuation in life sciences: project and portfolio managers, licensing executives, business developers, technology transfer managers, entrep- neurs, investors, and analysts. The purpose of the book is to explain how to apply discounted cash flow and real options valuation to life sciences p- jects, i.e. to license contracts, patents, and firms. We explain the fun- mentals and the pitfalls with case studies so that the reader is capable of performing the valuations on his own and repeat the theory in the exercises and case studies. The book is structured in five parts: In the first part, the introduction, we discuss the role of the players in the life sciences industry and their p- ticular interests. We describe why valuation is important to them, where they need it, and the current problems to it. The second part deals with the input parameters required for valuation in life sciences, i.e. success rates, costs, peak sales, and timelines.Trade ReviewFrom the reviews:"‘Valuation in Life Sciences: A Practical Guide’ leads readers step by step through the theory of life sciences valuation. … it is an important read for biotech investors. … It is the first book of its kind that combines industry data and valuation theory together with practical advice. It includes valuation techniques and tools that allow investors to pick undervalued biotech stocks." (GEN – genetic engineering news, February, 2007)"Valuation in Life Sciences: A Practical Guide opens up the black box and describes, step by step, a relatively simple procedure for quantitative valuation in life sciences. The book guides the reader through the recommended procedure of quantitative valuation … . This book is recommended to those who would like to acquire a profound understanding of quantitative valuation and use a simple spreadsheet approach of their own cases." (Rudolf Gygax, Nature Biotechnology, Vol. 25 (9), 2007)"This book provides some interesting examples – for business development and licensing executives – of where ROV may be used. … For the general reader and business development executive there is a good explanation of ROV and its applications in life science … . The book may also be of interest to biotechnology company business development executives and university technology transfer officers … . this book is essential reading as it not only provides the mathematical theory but also the applications in different types of deals." (Roger Davies, Business Development & Licensing Journal, Issue 4, 2007)From the reviews of the third edition:“The content and discussion contained in ‘Valuation in Life Sciences’ is excellent. The Swiss authors provide a practical guide to what mathematical tools gives meaningful valuations … . Recommended for anyone planning to be involved in the development of a biotech venture.” (C. Mathews, Amazon, December, 2010)“The authors always keep the necessary rigour to make the book a valuable reference to professionals such as business developers, investment bankers, or analysts. … it an excellent textbook for students as well. … ‘Valuation in Life Sciences’ addresses also the financial beginner with guided and easy-to-understand examples in Excel. I highly recommend the book to everyone in financial biotech.” (Amazon, November, 2009)“This book is an excellent overview of business development valuation and great for those who want to catch up on some techniques and tools. It gives an accurate picture of BD in pharma. For those in the business … it remains a very valuable tool.” (J. Serres, Amazon, March, 2009)Table of ContentsBasics of Valuation.- Valuation in Life Sciences.- Exercises.- Case Studies.

Read more less