Applied Smart Health Care Informatics

Applied Smart Health Care Informatics

Author: Sourav De

Publisher: John Wiley & Sons

Published: 2022-03-07

Total Pages: 228

ISBN-13: 1119743176

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Applied Smart Health Care Informatics Explores how intelligent systems offer new opportunities for optimizing the acquisition, storage, retrieval, and use of information in healthcare Applied Smart Health Care Informatics explores how health information technology and intelligent systems can be integrated and deployed to enhance healthcare management. Edited and authored by leading experts in the field, this timely volume introduces modern approaches for managing existing data in the healthcare sector by utilizing artificial intelligence (AI), meta-heuristic algorithms, deep learning, the Internet of Things (IoT), and other smart technologies. Detailed chapters review advances in areas including machine learning, computer vision, and soft computing techniques, and discuss various applications of healthcare management systems such as medical imaging, electronic medical records (EMR), and drug development assistance. Throughout the text, the authors propose new research directions and highlight the smart technologies that are central to establishing proactive health management, supporting enhanced coordination of care, and improving the overall quality of healthcare services. Provides an overview of different deep learning applications for intelligent healthcare informatics management Describes novel methodologies and emerging trends in artificial intelligence and computational intelligence and their relevance to health information engineering and management Proposes IoT solutions that disseminate essential medical information for intelligent healthcare management Discusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniques Examines the use of exploratory data analysis in intelligent healthcare informatics systems Applied Smart Health Care Informatics: A Computational Intelligence Perspective is an invaluable text for graduate students, postdoctoral researchers, academic lecturers, and industry professionals working in the area of healthcare and intelligent soft computing.


Book Synopsis Applied Smart Health Care Informatics by : Sourav De

Download or read book Applied Smart Health Care Informatics written by Sourav De and published by John Wiley & Sons. This book was released on 2022-03-07 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Smart Health Care Informatics Explores how intelligent systems offer new opportunities for optimizing the acquisition, storage, retrieval, and use of information in healthcare Applied Smart Health Care Informatics explores how health information technology and intelligent systems can be integrated and deployed to enhance healthcare management. Edited and authored by leading experts in the field, this timely volume introduces modern approaches for managing existing data in the healthcare sector by utilizing artificial intelligence (AI), meta-heuristic algorithms, deep learning, the Internet of Things (IoT), and other smart technologies. Detailed chapters review advances in areas including machine learning, computer vision, and soft computing techniques, and discuss various applications of healthcare management systems such as medical imaging, electronic medical records (EMR), and drug development assistance. Throughout the text, the authors propose new research directions and highlight the smart technologies that are central to establishing proactive health management, supporting enhanced coordination of care, and improving the overall quality of healthcare services. Provides an overview of different deep learning applications for intelligent healthcare informatics management Describes novel methodologies and emerging trends in artificial intelligence and computational intelligence and their relevance to health information engineering and management Proposes IoT solutions that disseminate essential medical information for intelligent healthcare management Discusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniques Examines the use of exploratory data analysis in intelligent healthcare informatics systems Applied Smart Health Care Informatics: A Computational Intelligence Perspective is an invaluable text for graduate students, postdoctoral researchers, academic lecturers, and industry professionals working in the area of healthcare and intelligent soft computing.

Translational Informatics in Smart Healthcare

Translational Informatics in Smart Healthcare

Author: Bairong Shen

Publisher: Springer

Published: 2018-12-12

Total Pages: 0

ISBN-13: 9789811354717

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This book is about the transformation of the biomedical information to smart healthcare, the chapters are designed to discuss the health associated factors such as genetics, lifestyle, nutrition and environmental factors. The interactions of these factors and the informatics for the analyses of their effects on health are also covered. The era of aging is approaching and the P4 (predictive, preventive, personalized and participatory) medicine paradigm is becoming practical and reality. According to the Kondratiev's long wave theory, IT (information technology) and health will be the next technological revolution for the new economic cycle. This book is written for biomedical informatics scientists, clinicians, health practitioners and researchers, etc.


Book Synopsis Translational Informatics in Smart Healthcare by : Bairong Shen

Download or read book Translational Informatics in Smart Healthcare written by Bairong Shen and published by Springer. This book was released on 2018-12-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about the transformation of the biomedical information to smart healthcare, the chapters are designed to discuss the health associated factors such as genetics, lifestyle, nutrition and environmental factors. The interactions of these factors and the informatics for the analyses of their effects on health are also covered. The era of aging is approaching and the P4 (predictive, preventive, personalized and participatory) medicine paradigm is becoming practical and reality. According to the Kondratiev's long wave theory, IT (information technology) and health will be the next technological revolution for the new economic cycle. This book is written for biomedical informatics scientists, clinicians, health practitioners and researchers, etc.

Innovation in Health Informatics

Innovation in Health Informatics

Author: Miltiadis Lytras

Publisher: Academic Press

Published: 2019-11-13

Total Pages: 441

ISBN-13: 0128190442

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Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare. This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics. Provides a holistic discussion on the new landscape of medical technologies, including big data, analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies Presents a case study driven approach, with references to real-world applications and systems Discusses topics with a research-oriented approach that aims to promote research skills and competencies of readers


Book Synopsis Innovation in Health Informatics by : Miltiadis Lytras

Download or read book Innovation in Health Informatics written by Miltiadis Lytras and published by Academic Press. This book was released on 2019-11-13 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare. This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics. Provides a holistic discussion on the new landscape of medical technologies, including big data, analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies Presents a case study driven approach, with references to real-world applications and systems Discusses topics with a research-oriented approach that aims to promote research skills and competencies of readers

Computational Intelligence and Healthcare Informatics

Computational Intelligence and Healthcare Informatics

Author: Om Prakash Jena

Publisher: John Wiley & Sons

Published: 2021-10-19

Total Pages: 434

ISBN-13: 1119818680

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COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.


Book Synopsis Computational Intelligence and Healthcare Informatics by : Om Prakash Jena

Download or read book Computational Intelligence and Healthcare Informatics written by Om Prakash Jena and published by John Wiley & Sons. This book was released on 2021-10-19 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.

Healthcare Informatics

Healthcare Informatics

Author: Stephan P. Kudyba

Publisher: CRC Press

Published: 2021-01-27

Total Pages: 253

ISBN-13: 1000330354

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"This book addresses how health apps, in-home measurement devices, telemedicine, data mining, and artificial intelligence and smart medical algorithms are all enabled by the transition to a digital health infrastructure.....it provides a comprehensive background with which to understand what is happening in healthcare informatics and why."—C. William Hanson, III, MD, Chief Medical Information Officer and Vice President, University of Pennsylvania Health System. "This book is dedicated to the frontline healthcare workers, who through their courage and honor to their profession, helped maintain a reliable service to the population at large, during a chaotic time. These individuals withstood fear and engaged massive uncertainty and risk to perform their duties of providing care to those in need at a time of crisis. May the world never forget the COVID-19 pandemic and the courage of our healthcare workers".—Stephan P. Kudyba, Author Healthcare Informatics: Evolving Strategies in the Digital Era focuses on the services, technologies, and processes that are evolving in the healthcare industry. It begins with an introduction to the factors that are driving the digital age as it relates to the healthcare sector and then covers strategic topics such as risk management, project management, and knowledge management that are essential for successful digital initiatives. It delves into facets of the digital economy and how healthcare is adapting to the geographic, demographic, and physical needs of the population and highlights the emergence and importance of apps and telehealth. It also provides a high-level approach to managing pandemics by applying the various elements of the digital ecosystem. The book covers such technologies as: Computerized physician order entry (CPOE) Clinical Information Systems Alerting systems and medical sensors Electronic healthcare records (EHRs) Mobile healthcare and telehealth. Apps Business Intelligence and Decision Support Analytics Digital outreach to the population Artificial Intelligence The book then closes the loop on the efficiency enhancing process with a focus on utilizing analytics for problem solving for a variety of healthcare processes including the pharmaceutical sector. Finally, the book ends with current and futuristic views on evolving applications of AI throughout the industry.


Book Synopsis Healthcare Informatics by : Stephan P. Kudyba

Download or read book Healthcare Informatics written by Stephan P. Kudyba and published by CRC Press. This book was released on 2021-01-27 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book addresses how health apps, in-home measurement devices, telemedicine, data mining, and artificial intelligence and smart medical algorithms are all enabled by the transition to a digital health infrastructure.....it provides a comprehensive background with which to understand what is happening in healthcare informatics and why."—C. William Hanson, III, MD, Chief Medical Information Officer and Vice President, University of Pennsylvania Health System. "This book is dedicated to the frontline healthcare workers, who through their courage and honor to their profession, helped maintain a reliable service to the population at large, during a chaotic time. These individuals withstood fear and engaged massive uncertainty and risk to perform their duties of providing care to those in need at a time of crisis. May the world never forget the COVID-19 pandemic and the courage of our healthcare workers".—Stephan P. Kudyba, Author Healthcare Informatics: Evolving Strategies in the Digital Era focuses on the services, technologies, and processes that are evolving in the healthcare industry. It begins with an introduction to the factors that are driving the digital age as it relates to the healthcare sector and then covers strategic topics such as risk management, project management, and knowledge management that are essential for successful digital initiatives. It delves into facets of the digital economy and how healthcare is adapting to the geographic, demographic, and physical needs of the population and highlights the emergence and importance of apps and telehealth. It also provides a high-level approach to managing pandemics by applying the various elements of the digital ecosystem. The book covers such technologies as: Computerized physician order entry (CPOE) Clinical Information Systems Alerting systems and medical sensors Electronic healthcare records (EHRs) Mobile healthcare and telehealth. Apps Business Intelligence and Decision Support Analytics Digital outreach to the population Artificial Intelligence The book then closes the loop on the efficiency enhancing process with a focus on utilizing analytics for problem solving for a variety of healthcare processes including the pharmaceutical sector. Finally, the book ends with current and futuristic views on evolving applications of AI throughout the industry.

Data Science and Medical Informatics in Healthcare Technologies

Data Science and Medical Informatics in Healthcare Technologies

Author: Nguyen Thi Dieu Linh

Publisher: Springer Nature

Published: 2021-06-19

Total Pages: 91

ISBN-13: 9811630291

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This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and many others.


Book Synopsis Data Science and Medical Informatics in Healthcare Technologies by : Nguyen Thi Dieu Linh

Download or read book Data Science and Medical Informatics in Healthcare Technologies written by Nguyen Thi Dieu Linh and published by Springer Nature. This book was released on 2021-06-19 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and many others.

Applied Interdisciplinary Theory in Health Informatics

Applied Interdisciplinary Theory in Health Informatics

Author: P. Scott

Publisher: IOS Press

Published: 2019-08-09

Total Pages: 242

ISBN-13: 1614999910

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The American Medical Informatics Association (AMIA) defines the term biomedical informatics (BMI) as: The interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving and decision making, motivated by efforts to improve human health. This book: Applied Interdisciplinary Theory in Health Informatics: A Knowledge Base for Practitioners, explores the theories that have been applied in health informatics and the differences they have made. The editors, all proponents of evidence-based health informatics, came together within the European Federation of Medical Informatics (EFMI) Working Group on Health IT Evaluation and the International Medical Informatics Association (IMIA) Working Group on Technology Assessment and Quality Development. The purpose of the book, which has a foreword by Charles Friedman, is to move forward the agenda of evidence-based health informatics by emphasizing theory-informed work aimed at enriching the understanding of this uniquely complex field. The book takes the AMIA definition as particularly helpful in its articulation of the three foundational domains of health informatics: health science, information science, and social science and their various overlaps, and this model has been used to structure the content of the book around the major subject areas. The book discusses some of the most important and commonly used theories relevant to health informatics, and constitutes a first iteration of a consolidated knowledge base that will advance the science of the field.


Book Synopsis Applied Interdisciplinary Theory in Health Informatics by : P. Scott

Download or read book Applied Interdisciplinary Theory in Health Informatics written by P. Scott and published by IOS Press. This book was released on 2019-08-09 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: The American Medical Informatics Association (AMIA) defines the term biomedical informatics (BMI) as: The interdisciplinary field that studies and pursues the effective uses of biomedical data, information, and knowledge for scientific inquiry, problem solving and decision making, motivated by efforts to improve human health. This book: Applied Interdisciplinary Theory in Health Informatics: A Knowledge Base for Practitioners, explores the theories that have been applied in health informatics and the differences they have made. The editors, all proponents of evidence-based health informatics, came together within the European Federation of Medical Informatics (EFMI) Working Group on Health IT Evaluation and the International Medical Informatics Association (IMIA) Working Group on Technology Assessment and Quality Development. The purpose of the book, which has a foreword by Charles Friedman, is to move forward the agenda of evidence-based health informatics by emphasizing theory-informed work aimed at enriching the understanding of this uniquely complex field. The book takes the AMIA definition as particularly helpful in its articulation of the three foundational domains of health informatics: health science, information science, and social science and their various overlaps, and this model has been used to structure the content of the book around the major subject areas. The book discusses some of the most important and commonly used theories relevant to health informatics, and constitutes a first iteration of a consolidated knowledge base that will advance the science of the field.

Computing Paradigms for Smart Healthcare

Computing Paradigms for Smart Healthcare

Author: B. Vinoth Kumar

Publisher:

Published: 2020-10-29

Total Pages: 337

ISBN-13: 9781536188493

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"Smart healthcare has gradually gained its popularity because of the development of information technologies and computing paradigms such as internet of things (loT), big data, Cloud computing and artificial intelligence. These technologies transform the conventional medical system in to smarter one by making healthcare more convenient, efficient, accurate, and more customized. Smart healthcare will lead to a revolutionized healthcare system that enables the participation of all people for the early prediction and prevention of diseases so that preemptive and pro-active treatment can be delivered. The aim of this edited book is to publish the latest research advancements in the convergence of automation technology, artificial intelligence, biomedical engineering and health informatics. This will help the readers to grasp the extensive point of view and the essence of the recent advances in this field. This book solicits contributions which include theory, case studies and computing paradigms pertaining to the healthcare applications. The prospective audience would be researchers, professionals, practitioners, and students from academia and industry who work in this field. We hope the chapters presented will inspire future research both from theoretical and practical viewpoints to spur further advances in the field. The entire book is the contribution of interdisciplinary expertise available in the esteemed Institution PSG College of Technology, an ISO 9001:2015 certified Government aided Institution, belonging to Department of Information Technology, Computer Science and Engineering, Electronics and Communication Engineering, Biomedical Engineering and Biotechnology. A brief introduction about each chapter is as follows. Chapter 1 focuses on health informatics which provides an overview of the various types of data originating from the medical information, Chapter 2 objective is to provide a 'smart connected environment' which includes storing, processing and exchange information seamlessly using technologies. Chapter 3 deals with an intelligent healthcare system for automatic diagnosis of diseases based on IOT enabled cloud computing framework and deep learning Chapter 4 discuss about basic concepts of digital twin technology and implementation of digital twin in various health care domains. Chapter 5 proposes a graph based framework for classification, feature selection method which uses the existing notion, histograms for extracting isotonic features from a data set. Chapter 6 explains the significance of convolution neural network in medical image analysis. Chapter 7 summarizes recent advances in AI tools applied in cancer diagnosis and research for disease prediction and biomarker discovery. Chapter 8 explores DNA microarray data followed by the implementation of machine learning algorithms to obtain the highly predictive genes for classification. Chapter 9 uses various data structures such as hash tables and prefix-based search trees to efficiently query the EHR data present in the Blockchain. Chapter 10 focuses on agreeing upon a common symmetric cryptographic key generated from the ECG signal collected at different locations of a patient using linear prediction and error control coding techniques. We are grateful to the authors and reviewers for their excellent contributions for making this book possible"--


Book Synopsis Computing Paradigms for Smart Healthcare by : B. Vinoth Kumar

Download or read book Computing Paradigms for Smart Healthcare written by B. Vinoth Kumar and published by . This book was released on 2020-10-29 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Smart healthcare has gradually gained its popularity because of the development of information technologies and computing paradigms such as internet of things (loT), big data, Cloud computing and artificial intelligence. These technologies transform the conventional medical system in to smarter one by making healthcare more convenient, efficient, accurate, and more customized. Smart healthcare will lead to a revolutionized healthcare system that enables the participation of all people for the early prediction and prevention of diseases so that preemptive and pro-active treatment can be delivered. The aim of this edited book is to publish the latest research advancements in the convergence of automation technology, artificial intelligence, biomedical engineering and health informatics. This will help the readers to grasp the extensive point of view and the essence of the recent advances in this field. This book solicits contributions which include theory, case studies and computing paradigms pertaining to the healthcare applications. The prospective audience would be researchers, professionals, practitioners, and students from academia and industry who work in this field. We hope the chapters presented will inspire future research both from theoretical and practical viewpoints to spur further advances in the field. The entire book is the contribution of interdisciplinary expertise available in the esteemed Institution PSG College of Technology, an ISO 9001:2015 certified Government aided Institution, belonging to Department of Information Technology, Computer Science and Engineering, Electronics and Communication Engineering, Biomedical Engineering and Biotechnology. A brief introduction about each chapter is as follows. Chapter 1 focuses on health informatics which provides an overview of the various types of data originating from the medical information, Chapter 2 objective is to provide a 'smart connected environment' which includes storing, processing and exchange information seamlessly using technologies. Chapter 3 deals with an intelligent healthcare system for automatic diagnosis of diseases based on IOT enabled cloud computing framework and deep learning Chapter 4 discuss about basic concepts of digital twin technology and implementation of digital twin in various health care domains. Chapter 5 proposes a graph based framework for classification, feature selection method which uses the existing notion, histograms for extracting isotonic features from a data set. Chapter 6 explains the significance of convolution neural network in medical image analysis. Chapter 7 summarizes recent advances in AI tools applied in cancer diagnosis and research for disease prediction and biomarker discovery. Chapter 8 explores DNA microarray data followed by the implementation of machine learning algorithms to obtain the highly predictive genes for classification. Chapter 9 uses various data structures such as hash tables and prefix-based search trees to efficiently query the EHR data present in the Blockchain. Chapter 10 focuses on agreeing upon a common symmetric cryptographic key generated from the ECG signal collected at different locations of a patient using linear prediction and error control coding techniques. We are grateful to the authors and reviewers for their excellent contributions for making this book possible"--

Consumer Health Informatics

Consumer Health Informatics

Author: Catherine Arnott Smith

Publisher: CRC Press

Published: 2020-12-14

Total Pages: 292

ISBN-13: 0429808887

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"An engaging introduction to an exciting multidisciplinary field where positive impact depends less on technology than on understanding and responding to human motivations, specific information needs, and life constraints." -- Betsy L. Humphreys, former Deputy Director, National Library of Medicine This is a book for people who want to design or promote information technology that helps people be more active and informed participants in their healthcare. Topics include patient portals, wearable devices, apps, websites, smart homes, and online communities focused on health. Consumer Healthcare Informatics: Enabling Digital Health for Everyone educates readers in the core concepts of consumer health informatics: participatory healthcare; health and e-health literacy; user-centered design; information retrieval and trusted information resources; and the ethical dimensions of health information and communication technologies. It presents the current state of knowledge and recent developments in the field of consumer health informatics. The discussions address tailoring information to key user groups, including patients, consumers, caregivers, parents, children and young adults, and older adults. For example, apps are considered as not just a rich consumer technology with the promise of empowered personal data management and connectedness to community and healthcare providers, but also a domain rife with concerns for effectiveness, privacy, and security, requiring both designer and user to engage in critical thinking around their choices. This book’s unique contribution to the field is its focus on the consumer and patient in the context of their everyday life outside the clinical setting. Discussion of tools and technologies is grounded in this perspective and in a context of real-world use and its implications for design. There is an emphasis on empowerment through participatory and people-centered care.


Book Synopsis Consumer Health Informatics by : Catherine Arnott Smith

Download or read book Consumer Health Informatics written by Catherine Arnott Smith and published by CRC Press. This book was released on 2020-12-14 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: "An engaging introduction to an exciting multidisciplinary field where positive impact depends less on technology than on understanding and responding to human motivations, specific information needs, and life constraints." -- Betsy L. Humphreys, former Deputy Director, National Library of Medicine This is a book for people who want to design or promote information technology that helps people be more active and informed participants in their healthcare. Topics include patient portals, wearable devices, apps, websites, smart homes, and online communities focused on health. Consumer Healthcare Informatics: Enabling Digital Health for Everyone educates readers in the core concepts of consumer health informatics: participatory healthcare; health and e-health literacy; user-centered design; information retrieval and trusted information resources; and the ethical dimensions of health information and communication technologies. It presents the current state of knowledge and recent developments in the field of consumer health informatics. The discussions address tailoring information to key user groups, including patients, consumers, caregivers, parents, children and young adults, and older adults. For example, apps are considered as not just a rich consumer technology with the promise of empowered personal data management and connectedness to community and healthcare providers, but also a domain rife with concerns for effectiveness, privacy, and security, requiring both designer and user to engage in critical thinking around their choices. This book’s unique contribution to the field is its focus on the consumer and patient in the context of their everyday life outside the clinical setting. Discussion of tools and technologies is grounded in this perspective and in a context of real-world use and its implications for design. There is an emphasis on empowerment through participatory and people-centered care.

Smart Computational Intelligence in Biomedical and Health Informatics

Smart Computational Intelligence in Biomedical and Health Informatics

Author: Taylor & Francis Group

Publisher: CRC Press

Published: 2021-08-26

Total Pages: 216

ISBN-13: 9780367624125

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Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-art innovations, research, design, and implementation of methodological and algorithmic solutions to data processing problems, designing, including analysis of evolving trends in health informatics and computer-aided diagnosis. Further, it describes practical, applications-led research on the use of methods and devices in clinical diagnosis, disease prevention, patient monitoring and management. It covers simulation and modeling, measurement and control, analysis, information extraction and monitoring of physiological data in clinical medicine and the biological sciences. Covers evolutionary approaches to solve optimization problems in biomedical engineering. Discusses IoT, Cloud computing, data analytics in healthcare informatics. Provides computational intelligence-based solution for diagnosis of diseases. Reviews modelling and simulations in designing of biomedical equipment. Promotes machine learning based approaches to improvements in biomedical engineering problems. This book is aimed at researchers, graduate students in healthcare, biomedical engineering, health informatics, computational intelligence, and machine learning.


Book Synopsis Smart Computational Intelligence in Biomedical and Health Informatics by : Taylor & Francis Group

Download or read book Smart Computational Intelligence in Biomedical and Health Informatics written by Taylor & Francis Group and published by CRC Press. This book was released on 2021-08-26 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-art innovations, research, design, and implementation of methodological and algorithmic solutions to data processing problems, designing, including analysis of evolving trends in health informatics and computer-aided diagnosis. Further, it describes practical, applications-led research on the use of methods and devices in clinical diagnosis, disease prevention, patient monitoring and management. It covers simulation and modeling, measurement and control, analysis, information extraction and monitoring of physiological data in clinical medicine and the biological sciences. Covers evolutionary approaches to solve optimization problems in biomedical engineering. Discusses IoT, Cloud computing, data analytics in healthcare informatics. Provides computational intelligence-based solution for diagnosis of diseases. Reviews modelling and simulations in designing of biomedical equipment. Promotes machine learning based approaches to improvements in biomedical engineering problems. This book is aimed at researchers, graduate students in healthcare, biomedical engineering, health informatics, computational intelligence, and machine learning.