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System Design for Epidemics Using Machine Learning and Deep Learning - 2023 ed.

By: (Edited by) Animesh Mishra , (Edited by) Dhilip Kumar , (Edited by) Dinesh Bhatia , (Edited by) G. R. Kanagachidambaresan

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Ksh 28,800.00

Format: Hardback or Cased Book

ISBN-10: 3031197518

ISBN-13: 9783031197512

Edition: 2023 ed.

Series: Signals and Communication Technology

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Feb 2nd, 2023

Print length: 325 Pages

Weight: 680 grams

Dimensions (height x width x thickness): 24.10 x 16.40 x 2.50 cms

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This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications.
This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.


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