Machine learning and analytics in healthcare systems : principles and applications /

"This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include area...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Himani, Bansal (Editor), Balusamy, Balamurugan (Editor), Poongodi, T. (Editor), Khan KP, Firoz (Editor)
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2021.
Edition:First edition.
Series:Green engineering and technology: concepts and applications
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy. The book will provide real-world case studies, gives a detailed exploration of applications in healthcare systems, offers multiple perspectives on a variety of disciplines, while also letting the reader know how to avoid some of the consequences of old methods with data sharing. The book can be used as a reference for practitioners, researchers and for students at basic and intermediary levels in Computer Science, Electronics and Communications"--
Physical Description:1 online resource (xii, 261 pages) : illustrations (chiefly color)
Bibliography:Includes bibliographical references and index.
ISBN:9781003185246
100318524X
1000406202
9781000406207
9781000406191
1000406199