System Design for Epidemics Using Machine Learning and Deep Learning - Brossura

 
9783031197536: System Design for Epidemics Using Machine Learning and Deep Learning
Brossura
ISBN 10: 3031197534 ISBN 13: 9783031197536
Casa editrice: Springer, 2023

Sinossi

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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Editore
Springer
Data di pubblicazione
2023
Lingua
Inglese
ISBN 10 
3031197534
ISBN 13 
9783031197536
Rilegatura
Copertina flessibile
Numero di pagine
348
Redattore
Kanagachidambaresan G. R., Bhatia Dinesh, Kumar Dhilip
Contatto del produttore
Elevation
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
22391
Germania

Altre edizioni note dello stesso titolo

9783031197512: System Design for Epidemics Using Machine Learning and Deep Learning

Edizione in evidenza

ISBN 10:  3031197518 ISBN 13:  9783031197512
Casa editrice: Springer Nature, 2023
Rilegato