Hiren Kumar Thakkar - Böcker

This book presents a detailed explanation of the concepts, taxonomy, and challenges in Healthcare 4.0 and provides frameworks and architectures for the adaptation and fusion of emerging technologies under Healthcare 5.0. The healthcare industry requires technological upgrades to provide precise, accurate, and automatic remote health monitoring and diagnosis. This reference book offers an early opportunity to explore emerging technologies and understand current issues, problems, and concepts.Health 5.0: Concepts, Challenges, and Solutions provides state-of-the-art research topics and opportunities of IoMT in personalized healthcare. It presents diversified IoMT applications for smart healthcare that supports lifestyle changes as a preventive measure and discusses health and care for all citizens to lead a good quality of life. The book illustrates the advancements of IoMT in augmented reality and AI and offers use-cases of edge computing for remote healthcare. The book also highlights the architectures, frameworks, and current research issues in IoMT and goes on to focus on sustainable healthcare for smart cities using edge computing, IoMT, and big data. The details of the development of advanced therapeutic instrumentation, along with the promotion of digital therapy, are also provided.The primary audience for this book includes academicians, researcher scholars, IoMT developers, cloud-based health application designers, and medical practitioners who are engaged in providing healthcare services using recent technologies.

This book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing as well as fog computing, and mobile edge computing.

This book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing as well as fog computing, and mobile edge computing.

Moreover, the book provides thorough guidance on the applicability of ML and DL algorithms to deal with application-specific security issues followed by novel approaches to counter threats to ML and DL algorithms.