Applications in industry and technology Books

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 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 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 SynopsisThis 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. It will be a valuable resource for radiologists, computer scientists and postgraduate students working on medical image analysis.Table of Contents What is artificial intelligence: history and basic definitions (Manolis Koltsakis, Apostolos Karantanas) Programming languages and tools used for AI applications (George Manikis, Kostas Marias) Introduction to traditional machine learning (Sara Colantonio) Machine learning methods for radiomics analysis (Michail Klontzas) Natural Language Processing (NLP) (Claudio Fanni) Deep learning (Lefteris Trivizakis, Kostas Marias) Data preparation for AI purposes (Andrea Barucci) Current applications of AI in medical imaging (Gianfranco di Salle)

Read more less

Book SynopsisThis book presents information about the use of technology to support the prevention and management of drug safety issues: pharmacovigilance (PV), medication errors, drug-related problems (DRPs), counterfeit medicines and other drug safety issues. Adapting new technologies/information technologies, mobile technologies and social media has contributed effectively to safety practices for medications, with this book providing comprehensive information as a guide to its challenges and potential. Technology for Drug Safety provides practicing and trainee pharmacists, pharmacy technicians, pharmacy educators, researchers, public health policy makers, healthcare professionals and medical educators with vital information about the impact of technology on drug safety-related issues. It describes the current status of the practice, the challenges in the field and recommendations for the effective use of technology in drug safety practice including clinical trials and drug development, PV, detection of adverse drug reactions, reporting and management, medication errors detection, reporting and management, DRPs, counterfeit and substandard medications, and other safety issues.Table of ContentsImportance of Technology for Drug Safety .- History of Drug Safety and Technology for Drug Safety.- Electronic Registration and Medical Records for Drug Safety.- Electronic Prescriptions and orders for Drug Safety.- Computer Technologies for Drug Safety.- Internet Technologies for Drug Safety.- Artificial intelligence & Machine Learning for Drug Safety.- Mobile technologies for Drug Safety.- Social-Media for Drug Safety.- Blockchain for Drug Safety.- Technology for Drug Safety: Challenges and Recommendations.

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 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 SynopsisThis is the second edition of a very popular book on DICOM that introduces this complex standard from a very practical point of view. It is aimed at a broad audience of radiologists, clinical administrators, information technologists, medical students, and lecturers. The book provides a gradual, down to earth introduction to DICOM, accompanied by an analysis of the most common problems associated with its implementation. Compared with the first edition, many improvements and additions have been made, based on feedback from readers. Whether you are running a teleradiology project or writing DICOM software, this book will provide you with clear and helpful guidance. It will prepare you for any DICOM projects or problem solving, and assist you in taking full advantage of multifaceted DICOM functionality.Trade ReviewFrom the reviews: "This book covers the structure and application of the DICOM standard in enough detail to be helpful to the general user of medical images, as well as to a programmer who is developing an image management system. … the text can also serve as a reference for those getting more involved with applications that use DICOM or those who want to develop their own DICOM application. … I would recommend this book to anyone interested in the DICOM standard." (Donald Peck, The Journal of Nuclear Medicine, Vol. 50 (8), August, 2009) "There have been many books trying to explain the wonders of Dicom … . This book goes to a lot of detail … . descriptions contained provide a useful resource when trying to integrate systems. … The charts and graphics are easy to use and explain the mysteries well. … I would recommend this book as a good practical introduction and survival guide … . I would recommend this book, along with a practical Dicom course … for those starting out in this area." (Chris Bull, RAD Magazine, July, 2009)Table of ContentsIntroduction to DICOM: What is DICOM?- How does DICOM work?- Where do you get DICOM from?- A Brief History of DICOM.- DICOM and Clinical Data: Parlez-vous DICOM?- Medical Images in DICOM.- DICOM Communications: DICOM SOPs: Basic.- DICOM SOPs: Beyond Basic.- DICOM Associations.- DICOM Media and Security: DICOM Media: Files, Folders, and DICOMDIRs.- DICOM Security.- Incompatibility of Compatible.- Advanced Topics: DICOM and Teleradiology.- Standards and System Integration in Digital Medicine.- Disaster PACS Planning and Management.- DICOM Software Development.- DICOM Implementation Plans.- DICOM FAQs.- Appendix.

Read more less

Book SynopsisTaxonomien sind Modelle, um unübersichtliche Domänen zu analysieren, Komplexität zu reduzieren sowie Unterschiede und Ähnlichkeiten von Objekten zu erkennen. Ferner helfen sie, Wissen zu ordnen und so Wissen zu vergrößern. Da täglich neues Wissen entsteht, ist eine nutzungsorientierte Entwicklung von Taxonomien für die Wissenschaft und die Praxis von fundamentaler Bedeutung. Taxonomien sind unerlässlich für die Erforschung, Beschreibung und Strukturierung von Domänen. Trotz ihrer besonderen Bedeutung gibt es für viele Wissenschaften nur wenige Handlungsanleitungen zur Entwicklung von Taxonomien.In diesem Buch werden die Forschungsergebnisse der Dissertation mit dem Titel „Entwicklung einer Taxonomie für Patientenportale für Health Information Manager“ präsentiert. Aufgrund der detaillierten Darstellung der Entwicklungsschritte und der eingesetzten Methoden kann diese Dissertationsforschung als Anleitung zur Entwicklung von Taxonomien dienen. Dabei ist die Evaluierung für die Nützlichkeit einer Taxonomie maßgeblich. Mit dem „TED Taxonomy-Evaluation-Delphi Approach“ entwickelte der Autor eine neue Methode zur Evaluierung von Taxonomien, welche hier ausführlich beschrieben wird.Table of ContentsEinleitung.- Grundlagen.- Methodologie.- Methodik.- Ergebnisse.- Diskussion.- Schlussfolgerung.- Literaturverzeichnis.

Read more less

Book SynopsisThis book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.Table of ContentsChapter 1. Hybrid Cloud/Fog Environment for Healthcare: An Exploratory Study, Opportunities, Challenges, and Future Prospects.- Chapter 2. Hybrid Intelligent System for Medical Diagnosis in Healthcare.- Chapter 3. Remote Patient Monitoring Using IoT, Cloud Computing and AI.- Chapter 4. An Analytical Study of the Role of M-IoT in Healthcare Domain.- Chapter 5. Hybrid AI and IoT Approaches Used in Health Care for Patients Diagnosis.- Chapter 6. RADIoT: The unifying framework for IoT, Radiomics and Deep Learning Modelling.- Chapter 7. Hybrid Artificial Intelligence and IoT in Healthcare for cardiovascular patient in decision making system.- Chapter 8. A Smart Assistive System for Visually Impaired to in-form acquaintance using Image Processing (ML) supported by IoT.- Chapter 9. Internet of things in healthcare: A survey.- Chapter 10. Disease Diagnosis System for IoT-Based Wearable Body Sensors with Machine Learning Algorithm.- Chapter 11. Integration of Machine Learning and IoT in Healthcare Domain.- Chapter 12. Managing Interstitial Lung Diseases with Computer Aided Visualization.- Chapter 13. Use of Machine Learning Algorithms to Identify Sleep Phases Starting from ECG Signals.- Chapter 14. Emerging Technologies for Pandemic and its Impact.- Chapter 15. Impact of Artificial Intelligence in Healthcare: A Study.

Read more less

Book SynopsisThis edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The chapters involved in this book cover challenges and opportunities for diabetic retinopathy detection based on deep learning applications, deep learning accelerators in IoT and IoMT, health data analysis, deep reinforcement-based conversational AI agent in healthcare systems, examination of health data performance, multisource data in intelligent medicine, application of genetic algorithms in health care, mental disorder, digital healthcare system with big data analytics, encryption methods in healthcare data security, computation and cognitive bias in healthcare intelligence and pharmacogenomics, guided imagery therapy, cancer detection and prediction techniques, medical image processing for coronavirus, and imbalance learning in health care.Table of ContentsChapter 1. Methods for the recognition of multisource data in intelligent medicine: A review and next generation trends.- Chapter 2. Deep Learning in Healthcare: Challenges and Opportunities.- Chapter 3. Examination of Health Data Performance Depending on the Creative Use of Optimization Methods and Machine Learning Algorithms.- Chapter 4. Effect of computation and cognitive bias in healthcare intelligence and pharmacogenomics.- Chapter 5. Application of Genetic Algorithms in Healthcare: A Review.- Chapter 6. Decision-Making in Healthcare Nano-informatics.- Chapter 7. A Succinct Analytical Study of the Usability of Encryption Methods in Healthcare Data Security.- Chapter 8. IoMT in healthcare industry – Concepts and Applications.- Chapter 9. The Effect of Heuristic Methods Towards Performance of Health Data Analysis.- Chapter 10. AI for Stress Diagnosis at Home Environment.- Chapter 11. Contemporary Technologies to Combat Pandemics and Epidemics.- Chapter 12. Deep Learning for Diabetic Retinopathy Detection: Challenges and Opportunities.- Chapter 13. Deep Reinforcement Based Conversational AI Agent in Healthcare System.- Chapter 14. Deep Learning Empowered Fight against COVID-19: A Survey.- Chapter 15. Application of GAN in Guided Imagery Therapy.- Chapter 16. Digital Transformation in Healthcare Industry: A Survey.- Chapter 17. Application of Deep Learning in Mental Disorder: Challenges and Opportunities.

Read more less

Book SynopsisThis book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-23), held in Rome, Italy, on June 14–16, 2023. Covering a number of key areas, including digital IT architecture in healthcare; advanced ICT for medicine and healthcare; biomedical engineering, trends, research and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields.Table of ContentsDesigning deep learning architectures with neuroevolution. Study case: fetal morphology scan.- Optimized Deployment Planning for Elderly Welfare Facilities Based on Network Theory ~A Case Study of Ibaraki Prefecture's Day Care Welfare Facilities for the Elderly.- Online Parent Counselling in Speech and Language Therapy - the View of the Professionals.- Modelling Competing Risk for Stroke Survival Data.- Artificial Intelligence Chatbots and Conversational Agents - an Overview of Clinical Studies in Health Care.- Challenges and Solutions for Artificial Intelligence Adoption in Healthcare – A Literature Review.- An Explainable Deep Network Framework with Case-based Reasoning Strategies for Survival Analysis in Oncology.- Healthcare under Society 5.0: A Systematic Literature Review of Applications and Case Studies.- Strategic Risk Management for Low-Code Development Platforms with Enterprise Architecture Approach: Case of Global Pharmaceutical Enterprise.- Optimized Deployment Planning for Elderly Welfare Facilities based on Network Theory ~A Case Study of Ibaraki Prefecture's Day Care Welfare Facilities for the Elderly.- Characterizing Groups of Patients with Depression using Clustering Techniques.

Read more less

Book SynopsisThis book constitutes the papers presented at the Evaluation Track of the 8th China Conference on Health Information Processing, CHIP 2022, held in Hangzhou, China during October 21–23, 2022.The 20 full papers included in this book were carefully reviewed and selected from 20 submissions. They were organized in topical sections as follows: text mining for gene-disease association semantic; medical causal entity and relation extraction; medical decision tree extraction from unstructured text; OCR of electronic medical document; clinical diagnostic coding.Table of ContentsText Mining for Gene-Disease Association Semantic.- Text Mining Task for “Gene-Disease” Association Semantics in CHIP 2022.- Hierarchical Global Pointer Network: An Implicit Relation Inference Method for Gene-Disease Knowledge Discovery.- A Knowledge-based Data Augmentation Framework for Few-Shot Biomedical Information Extraction.- Biomedical Named Entity Recognition Under Low-Resource Situation.- Medical Causal Entity and Relation Extraction.- CHIP2022 Shared Task Overview: Medical Causal Entity Relationship Extraction.- Domain Robust Pipeline for Medical Causal Entity and Relation Extraction Task.- A Multi-span-based Conditional Information Extraction Model.- Medical Causality Extraction: A Two-Stage Based Nested Relation Extraction Model.- Medical Decision Tree Extraction from Unstructured Text.- Extracting Decision Trees from Medical Texts: an Overview of the Text2DT Track in CHIP2022.- Medical Decision Tree Extraction: A Prompt Based Dual Contrastive Learning Method.- An automatic construction method of diagnosis and treatment decision tree based on UIE and logical rules.- Research on Decision Tree Method of Medical Text Based on Information Extraction.- OCR of Electronic Medical Document.- Information extraction of Medical Materials: an Overview of the track of Medical Material MedOCR.- TripleMIE: Multi-Modal and Multi architecture Information Extraction.- Multimodal end-to-end visual document parsing.- Improving Medical OCR Information Extraction with Integrated Bert and LayoutXLM Models.- Clinical Diagnostic Coding.- Overview of CHIP 2022 Shared Task 5: Clinical Diagnostic Coding.- Clinical Coding Based on Knowledge Enhanced Language Model and Attention Pooling.- Rule-enhanced Disease Coding Method based on Roberta.- Diagnosis Coding Rule-Matching Based on Characteristic Words and Dictionaries.

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the 12th International Conference on Health Information Science, HIS 2023, held in Melbourne, VIC, Australia, during October 23–24, 2023.The 20 full papers and 9 short papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Depression & Mental Health, Data Security, Privacy & Healthcare Systems, Neurological & Cognitive Disease Studies, COVID-19 Impact Studies, Advanced Medical Data & AI Techniques, Predictive Analysis & Disease Recognition, Medical Imaging & Dataset Exploration, Elderly Care and Knowledge Systems.Table of ContentsDepression & Mental Health.- Detection of depression and its likelihood in children and adolescents: Evidence from a 15-years study.- A combined attribute extraction method for detecting Postpartum Depression using Social Media.- Network Analysis of Relationships and Change Patterns in Depression and Multiple Chronic Diseases based on the China Health and Retirement Longitudinal Study.- Exploring Etiology of Nonsuicidal Self-Injury by Using Knowledge Graph Approach.- A Question and Answering System for Mental Health of the ElderlyBased on BiLSTM-CRF Model and Knowledge Graph.- Data Security, Privacy & Healthcare Systems.- Australia's Notifiable Data Breach scheme: An analysis of risk management findings for healthcare.- Analysis and Protection of Public Medical Dataset: from Privacy Perspective.- Enhancing Health Information Systems Security: An Ontology Model Approach.- Developing a Risk Management Framework for E-health Care Delivery.- Neurological & Cognitive Disease Studies.- Knowledge-Based Nonlinear to Linear Dataset Transformation for Chronic Illness Classification.- A Robust Approach for Parkinson Disease Detection from Voice Signal.- Analysis on Association between Vascular Risk Factors and Lifestyle Factors with the risk of Dementia/Alzheimer's Disease using Medical Ontologies.- COVID-19 Impact Studies.- Unveiling the Pandemic's Impact: A Dataset for Probing COVID-19's Effects on E-Learning Activities and Academic Performance.- Understanding the influence of multiple factors on the spread of Omicron variant strains via the Multivariate Regression Method.- Analyzing the Impact of COVID-19 on Education: A Comparative Study Based on TOEFL Test Results.- Advanced Medical Data & AI Techniques.- BiblioEngine: An AI-empowered Platform for Disease Genetic Knowledge Mining.- Enhancing Clustering Performance in Sepsis Time Series Data Using Gravity Field.- Multi-modal Medical Data Exploration Based on Data Lake.- Multi-model Transfer Learning and Genotypic Analysis for Seizure Type Classification.- Requirement survey in Thai clinician for designing digital solution of pain assessment.- Predictive Analysis & Disease Recognition.- A Comprehensive Approach for Enhancing Motor Imagery EEG Classification in BCI's.- Image Recognition of Chicken Diseases Based on Improved Residual Networks.- An Adaptive Feature Fusion Network for Alzheimer's Disease Prediction.- A Review on Predicting Drug Target Interactions Based on Machine Learning.- KNN-Based Patient Network and Ensemble Machine Learning for Disease Prediction.- Medical Imaging & Dataset Exploration.- Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics.- Multi-dimensional Complex Query Optimization for Disease-specific Data Exploration Based on Data Lake.- Analyzing Health Risks Resulting from Unplanned Land Use Plan and Structure: A Case Study in Historic Old Dhaka.- Elderly Care & Knowledge Systems.- Home Self-medication Question-Answering System for the Elderly Based on Seq2Seq Model and Knowledge Graph Technology.- Constructing Multi-Constrained Cognitive Diagnostic Test: An Improved Ant Colony Optimization Algorithm.- Enhancing Patient Safety in Pharmacotherapy.

Read more less

a huge range and FREE tracked UK delivery on ALL orders.

Read more less

a huge range and FREE tracked UK delivery on ALL orders.

Read more less

a huge range and FREE tracked UK delivery on ALL orders.

Read more less

a huge range and FREE tracked UK delivery on ALL orders.

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