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System Design for Epidemics Using Machine Learning and Deep Learning (Hardcover, 1st ed. 2023) Loot Price: R4,544
Discovery Miles 45 440
System Design for Epidemics Using Machine Learning and Deep Learning (Hardcover, 1st ed. 2023): G. R. Kanagachidambaresan,...

System Design for Epidemics Using Machine Learning and Deep Learning (Hardcover, 1st ed. 2023)

G. R. Kanagachidambaresan, Dinesh Bhatia, Dhilip Kumar, Animesh Mishra

Series: Signals and Communication Technology

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Loot Price R4,544 Discovery Miles 45 440 | Repayment Terms: R426 pm x 12*

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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 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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Signals and Communication Technology
Release date: February 2023
First published: 2023
Editors: G. R. Kanagachidambaresan • Dinesh Bhatia • Dhilip Kumar • Animesh Mishra
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 325
Edition: 1st ed. 2023
ISBN-13: 978-3-03-119751-2
Categories: Books > Medicine > General issues > Medical equipment & techniques > General
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN: 3-03-119751-8
Barcode: 9783031197512

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