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portada System Design for Epidemics Using Machine Learning and Deep Learning
Type
Physical Book
Publisher
Author
Year
2023
Language
English
Pages
348
Format
Paperback
Dimensions
23.40 x 15.60 x 1.80 cm
ISBN13
9783031197536

System Design for Epidemics Using Machine Learning and Deep Learning

G. R. Kanagachidambaresan;Dinesh Bhatia;Dhilip Kumar (Author) · Springer · Paperback

System Design for Epidemics Using Machine Learning and Deep Learning - G. R. Kanagachidambaresan;Dinesh Bhatia;Dhilip Kumar

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Synopsis "System Design for Epidemics Using Machine Learning and Deep Learning"

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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