Intelligent IoT systems in personalized health care /

Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on metho...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Sangaiah, Arun Kumar, 1981- (Editor), Mukhopadhyay, Subhas Chandra (Editor)
Format: eBook
Language:English
Published: London, United Kingdom ; San Diego, CA, United States : Academic Press, an imprint of Elsevier, [2021]
Series:Cognitive data science in sustainable computing.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications. The book is well suited for researchers exploring the significance of IoT based architecture to perform predictive analytics of user activities in sustainable health.
Physical Description:1 online resource (xix, 340 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9780128232040
0128232048