Academic Press 5G IoT and Edge Computing for Smart Healthcare (Intelligent Data-Centric Systems)

5G IoT and Edge Computing for Smart Healthcare addresses the importance of a 5G IoT and Edge-Cognitive-Computing-based system for the successful implementation and realization of a smart-healthcare system. The book provides insights on 5G technologies, along with intelligent processing algorithms/processors that have been adopted for processing the medical data that would assist in addressing the challenges in computer-aided diagnosis and clinical risk analysis on a real-time basis. Each chapter is self-sufficient, solving real-time problems through novel approaches that help the audience acquire the right knowledge. With the progressive development of medical and communication - computer technologies, the healthcare system has seen a tremendous opportunity to support the demand of today's new requirements. To learn more about Elsevier’s Series, Intelligent Data-Centric Systems, please visit this link: https://www.elsevier.com/books-and-journals/book-series/intelligent-data-centric-systems-sensor-collected-intelligence Review Covers the latest trends in data processing related 5G IoT and edge computing for successful implementation of a smart health care system From the Back Cover With the progressive development of medical and communication - computer technologies, the healthcare system has seen a tremendous opportunity to support the demand of modern days’ requirements. The main aim of the modern healthcare system is to predict and to provide adequate support to the patient under emergency situations and more importantly to provide a personalized resource service for special users. And to address this issue, <i>5G IoT and Edge Computing for Smart Healthcare</i> addresses the importance of 5G IoT and Edge-Cognitive-Computing-based system for successful implementation and realization of the smart-healthcare system.<br><br>The book provides the insight of 5G technologies to support the health care system along with the intelligent processing algorithms/processors adopted for processing the medical data that would assist in addressing the challenges in computer aided diagnosis and clinical risk analysis on a real time basis. Each chapter is self-sufficient to solve the real-time problem in healthcare industry through novel approaches that helps the audience to acquire the knowledge. About the Author Akash Kumar Bhoi [B.Tech, M.Tech, Ph.D.] is working as Assistant Professor (Research) in the Department of Computer Science and Engineering at Sikkim Manipal Institute of Technology (SMIT), India, since 2012. He is also working (Period: 20th Jan 2021 - 19th Jan 2022) as Research Associate at Wireless Networks (WN) Research Laboratory, Institute of Information Science and Technologies, National Research Council (ISTI-CRN) Pisa, Italy. He is a University Ph.D. Course Coordinator for “Research & Publication Ethics (RPE). He is a member of IEEE, ISEIS, and IAENG, an associate member of IEI, UACEE, and an editorial board member reviewer of Indian and international journals. He is also a regular reviewer of repute journals, namely IEEE, Springer, Elsevier, Taylor and Francis, Inderscience, etc. His research areas are Biomedical Technologies, the Internet of Things, Computational Intelligence, Antenna, Renewable Energy. He has published several papers in national and international journals and conferences. He has 100+ documents registered in the Scopus database by the year 2020. He has also served on numerous organizing panels for international conferences and workshops. He is currently editing several books with Springer Nature, Elsevier and Routledge & CRC Press. He is also serving as Guest editor for special issues of the journal like Springer Nature and Inderscience. Victor Hugo C. de Albuquerque [M’17, SM’19] is a collaborator Professor and senior researcher at the Graduate Program on Teleinformatics Engineering at the Federal University of Ceará, Brazil, and at the Grad