Intelligent Healthcare (eBook)

The book Intelligent Healthcare: Infrastructure, Algorithms, and Management® cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments.  Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning.

This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors.

Main Features:

Ø  Immersive technologies in healthcare

Ø  Internet of medical things

Ø  Federated learning algorithms

Ø  Explainable AI in Pervasive Healthcare

Ø  New management principles using biomedical data

Ø  Secured healthcare management systems

This book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue.

Dr. Chinmay Chakraborty is a Assistant Professor at Birla Institute of Technology, Mesra, India and Post-doctoral fellow of Federal University of Piauí, Brazil. He has published more than 150 conference presentations, journal papers, book chapters and books and organized more than 20 special issues in various journals including IEEE, Springer, IGI Global, CRC Press, TechScience, MDPI etc. His main research interests include the Internet of Medical Things, Wireless Body Area Networks, Telemedicine, m-Health/e-health, and Medical Imaging.

Dr. Mohammad R. Khosravi is currently a researcher in the fields of communications, networking and computing systems. He is now a research associate for multimedia and networking at the Department of Computer Engineering, Persian Gulf University, Iran, and a part-time research engineer & consultant in IEI Company, Iran. His main interests include statistical signal and image processing, medical bioinformatics, radar imaging and satellite remote sensing, computer communications, internet of things (IoT), wireless sensor networks, cyber-physical systems, multimedia networks, UAV networks, and information science (scientometrics).

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The book Intelligent Healthcare: Infrastructure, Algorithms, and Management(R) cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments.  Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning.This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors.Main Features:o  Immersive technologies in healthcareo  Internet of medical thingso  Federated learning algorithmso  Explainable AI in Pervasive Healthcareo  New management principles using biomedical datao  Secured healthcare management systemsThis book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue.