Description: System Design for Epidemics Using Machine Learning and Deep Learning, Paperback by Kanagachidambaresan, G. R. (EDT); Bhatia, Dinesh (EDT); Kumar, Dhilip (EDT); Mishra, Animesh (EDT), ISBN 3031197542, ISBN-13 9783031197543, Like New Used, Free shipping in the US 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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End Time: 2024-07-27T08:15:43.000Z
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Book Title: System Design for Epidemics Using Machine Learning and Deep Learn
Number of Pages: Xxii, 325 Pages
Language: English
Publication Name: System Design for Epidemics Using Machine Learning and Deep Learning
Publisher: Springer International Publishing A&G
Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, General, Telecommunications
Publication Year: 2024
Type: Textbook
Item Weight: 18.8 Oz
Author: Dinesh Bhatia
Subject Area: Mathematics, Computers, Technology & Engineering, Medical
Item Length: 9.3 in
Item Width: 6.1 in
Series: Signals and Communication Technology Ser.
Format: Trade Paperback
