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Handbook on Augmenting Telehealth Services by Sonali Vyas,Sunil Gupta,Monit Kapoor,Samiya Khan Pdf
This handbook offers a cross-disciplinary perspective, models, and innovations in telehealth systems that utilize AI technologies such as Machine Learning, Augmented Reality, Virtual Reality, Big Data Management, and IoT as it discusses various methods for remote care support and services.
Handbook on Augmenting Telehealth Services by Sonali Vyas,Sunil Gupta,Monit Kapoor,Samiya Khan Pdf
Handbook on Augmenting Telehealth Services: Using Artificial Intelligence provides knowledge of AI-empowered telehealth systems for efficient healthcare services. The handbook discusses novel innovations in telehealth using AI techniques and also focuses on emerging tools and techniques in smart health systems. The book highlights important topics such as remote diagnosis of patients and presents e-health data management showcasing smart methods that can be used to improvise healthcare support and services. The handbook also shines a light on future trends in AI-enabled telehealth systems. Features Provides knowledge of AI-empowered telehealth systems for efficient healthcare services Discusses novel innovations in telehealth using AI techniques Covers emerging tools and techniques in smart health systems Highlights remote diagnosis of patients Focuses on e-health data management and showcases smart methods used to improvise healthcare support and services Shines a light on future trends in AI-enabled telehealth systems Every individual (patients, doctors, healthcare staff, etc.) is currently getting adapted to this new evolution of healthcare. This handbook is a must-read for students, researchers, academicians, and industry professionals working in the field of artificial intelligence and its uses in the healthcare sector.
Handbook of AI-Based Models in Healthcare and Medicine by Bhanu Chander,Koppala Guravaiah,B. Anoop,G. Kumaravelan Pdf
This handbook provides thorough, in-depth, and well-focused developments of artificial intelligence (AI), machine learning (ML), deep learning (DL), natural language processing (NLP), cryptography, and blockchain approaches, along with their applications focused on healthcare systems. Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications highlights different approaches, theories, and applications of intelligent systems from a practical as well as a theoretical view of the healthcare domain. It uses a medically oriented approach in its discussions of human biology, healthcare, and medicine and presents NLP-based medical reports and medicine enhancements. The handbook includes advanced models of ML and DL for the management of healthcare systems and also discusses blockchain-based healthcare management. In addition, the handbook offers use cases where AI, ML, and DL can help solve healthcare complications. Undergraduate and postgraduate students, academicians, researchers, and industry professionals who have an interest in understanding the applications of ML/DL in the healthcare setting will want this reference on their bookshelf.
Research Handbook on Patient Safety and the Law by John Tingle,Caterina Milo,Gladys Msiska,Ross Millar Pdf
Despite recurring efforts, a gap exists across a variety of contexts between the protection of patients’ safety in theory and in practice. This timely Research Handbook highlights these critical issues and suggests both legal and policy changes are necessary to better protect patients’ safety.
Smart Technologies in Healthcare Management by Nidhi Sindhwani,Sarvesh Tanwar,Ajay Rana,Ramani Kannan Pdf
Offering a holistic view of the pioneering trends and innovations in smart healthcare management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era. Smart Technologies in Healthcare Management: Pioneering Trends and Applications provides an overview of various technical and innovative aspects, challenges, and issues in smart healthcare, along with recent and novel findings. It highlights the latest advancements and applications in the field of intelligent systems and explores the importance of cloud computing and the design of sensors in an IoT system. The book offers algorithms and a framework with models in machine learning and AI for smart healthcare management. A detailed flow chart and innovative and modified methodologies related to intelligent computing in healthcare are discussed, as well as real-world-based examples so that readers can compare technical concepts with daily life concepts. This book will be a useful reference for academicians and the healthcare industry, along with professionals interested in exploring innovations in varied applicational areas of AI, IoT, and machine learning. Researchers, startup companies, and entrepreneurs will also find this book of interest.
Machine Learning in Healthcare and Security by Prashant Pranav,Archana Patel,Sarika Jain Pdf
This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms. Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions. This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, computer science, cyber-security, information technology, and applied mathematics.
Emerging Technologies for Securing the Cloud and IoT by Ahmed Nacer, Amina,Abdmeziem, Mohammed Riyadh Pdf
In an age defined by the transformative ascent of cloud computing and the Internet of Things (IoT), our technological landscape has undergone a revolutionary evolution, enhancing convenience and connectivity in unprecedented ways. This convergence, while redefining how we interact with data and devices, has also brought to the forefront a pressing concern – the susceptibility of these systems to security breaches. As cloud services integrate further into our daily lives and the IoT saturates every aspect of our routines, the looming potential for cyberattacks and data breaches necessitates immediate and robust solutions to fortify the protection of sensitive information, ensuring the privacy and integrity of individuals, organizations, and critical infrastructure. Emerging Technologies for Securing the Cloud and IoT emerges as a comprehensive and timely solution to address the multifaceted security challenges posed by these groundbreaking technologies. Edited by Amina Ahmed Nacer from the University of Lorraine, France, and Mohammed Riyadh Abdmeziem from Ecole Nationale Supérieur d’Informatique, Algeria, this book serves as an invaluable guide for both academic scholars and industry experts. Its content delves deeply into the intricate web of security concerns, elucidating the potential ramifications of unaddressed vulnerabilities within cloud and IoT systems. With a pragmatic focus on real-world applications, the book beckons authors to explore themes like security frameworks, integration of AI and machine learning, data safeguarding, threat modeling, and more. Authored by esteemed researchers, practitioners, and luminaries, each chapter bridges the divide between theory and implementation, aiming to be an authoritative reference empowering readers to adeptly navigate the complexities of securing cloud-based IoT systems. A crucial resource for scholars, students, professionals, and policymakers striving to comprehend, confront, and surmount contemporary and future security challenges, this book stands as the quintessential guide for ushering in an era of secure technological advancement.
The E-Medicine, E-Health, M-Health, Telemedicine, and Telehealth Handbook (Two Volume Set) by Halit Eren,John G. Webster Pdf
This handbook covers an extensive range of topics that comprise the subject of distance communication from sensors on and within the body to electronic medical records. It bridges the gap between scientists, engineers, and medical professionals by creating synergy in the related fields of biomedical engineering, information and communication technologies (ICT), network operators, business opportunities, and dynamically evolving modern medical and healthcare practices—including how medical personnel use ICT. It provides a reference for a broad group of users—from the advanced high school science students to healthcare and university professionals.
Handbook of Community Psychiatry by Hunter L. McQuistion,Wesley E. Sowers,Jules M. Ranz,Jacqueline Maus Feldman Pdf
During the past decade or more, there has been a rapid evolution of mental health services and treatment technologies, shifting psychiatric epidemiology, changes in public behavioral health policy and increased understanding in medicine regarding approaches to clinical work that focus on patient-centeredness. These contemporary issues need to be articulated in a comprehensive format. The American Association of Community Psychiatrists (AACP), a professional organization internationally recognized as holding the greatest concentration of expertise in the field, has launched a methodical process to create a competency certification in community psychiatry. As a reference for a certification examination, that effort will benefit enormously from a comprehensive handbook on the subject.
Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization by Iyer, Sailesh Suryanarayan,Jain, Arti,Wang, John Pdf
The sudden outbreak of the COVID-19 pandemic has curbed human lifestyle by imposing restrictions on regular daily movements that had been taken for granted. Due to the pandemic, the welfare segment has received more attention, and every possible effort is being made to prioritize the services at the top. This can be made possible while using the latest tools, technologies, and resources that impact the human culture and welfare of well-being. Novel methods and devices that make the welfare services more efficient, adaptive, transparent, and cost-effective need to be explored. The Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization offers extensive research on lifestyle management and services that contribute towards indication, detection, conduction, protection, and technological enhancement including machine learning, deep learning, artificial intelligence, big data analytics, and visualization. It also provides mechanisms that can improve lifestyle monitoring and help in increasing the immunity of the human body. Covering topics such as big data, robot therapy, and wearable technology, it is ideal for students, researchers, technologists, IT specialists, computer engineers, systems engineers, data scientists, doctors, hospital administrators, engineers, academicians, and technology providers.
Smart Healthcare Systems by Adwitiya Sinha,Megha Rathi Pdf
About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. Salient Features of the Book Exhaustive coverage of Data Analysis using R Real-life healthcare models for: Visually Impaired Disease Diagnosis and Treatment options Applications of Big Data and Deep Learning in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare and analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.
Assessing And Treating Late-life Depression: A Casebook And Resource Guide by Michele J Karel,Suzanne Ogland-hand,Margaret Gatz Pdf
Not only is depression among the elderly treatable but, given its increase in incidence and a rapidly aging population, it is a critical issue for the mental-health and medical communities. The authors review the range of late-life depressive syndromes and the strategies for assessing and treating them, and illustrate the problems and principles with fourteen extended case studies-rare in the geropsychology literature and the core of the book. They also provide a guide to medications, screening tools, innovative models, and supplementary resources, invaluable tools for mental-health professionals and medical practitioners alike.
Artificial Intelligence in Healthcare by Anusha Kostka Pdf
"Artificial Intelligence in Healthcare: A Compilation of Case Studies" offers a comprehensive view of AI's transformative impact on healthcare. Delving into applications and challenges, the book showcases detailed case studies illuminating AI's role in diagnosis, treatment, prevention, and management. From early cancer detection to personalized medicine, each case study exemplifies AI's potential to improve patient outcomes. Ethical dilemmas and emerging trends in AI research are also explored, providing a holistic view of AI's future in healthcare. This book is an essential guide for researchers, healthcare professionals, and anyone intrigued by AI's potential to revolutionize healthcare delivery.