This book discusses the roles of the Internet of Things (IoT) and machine learning (ML) in smart health care, including the integration of cloud computing with IoT and ML for managing healthcare data. It presents the fundamentals and many applications of IoT and ML in different areas of smart health care. It deliberates upon security and privacy issues, including trust concerns about smart healthcare systems based on IoT and ML algorithms. This book is concluded by discussing challenges and future work directions in smart health care using IoT and ML, and it serves as a reference resource for researchers and practitioners in academia and industry.
Reihe
Auflage
Sprache
Verlagsort
Verlagsgruppe
Springer Verlag, Singapore
Zielgruppe
Illustrationen
79
16 s/w Abbildungen, 79 farbige Abbildungen
XII, 355 p. 95 illus., 79 illus. in color.
Maße
Höhe: 241 mm
Breite: 160 mm
Dicke: 26 mm
Gewicht
ISBN-13
978-981-97-5623-0 (9789819756230)
DOI
10.1007/978-981-97-5624-7
Schweitzer Klassifikation
Suyel Namasudra has received Ph.D. degree from the National Institute of Technology Silchar, Assam, India. He was a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. Currently, he is working as an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, Tripura, India. Before joining the National Institute of Technology Agartala, he was an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India. His research interests include blockchain technology, cloud computing, DNA computing, and information security. He is the editor-in-chief of the Cloud Computing and Data Science (ISSN: 2737-4092 (online)) journal. He is a senior member of IEEE, and a member of ACM and IEI. He has been featured in the list of the top 2% scientists in the world in 2021, 2022, and 2023. His h-index is 37.
