Healthcare big data analytics : computational optimization and cohesive approaches /

This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, disc...

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Bibliographic Details
Group Author: Bhoi, Akash Kumar (Editor); Panigrahi, Ranjit (Editor); De Albuquerque, Victor Hugo C. (Editor); Jhaveri, Rutvij H. (Editor)
Published: Walter de Gruyter,
Publisher Address: Berlin :
Publication Dates: [2024]
Literature type: Book
Language: English
Series: Intelligent biomedical data analysis, volume 10
Subjects:
Summary: This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.
Carrier Form: x, 342 pages : illustrations (some color), forms ; 25 cm.
Bibliography: Includes bibliographical references and index.
ISBN: 9783110750737
Index Number: R858
CLC: R197.323.1-37
R319
Call Number: R319/H434-13