System Design for Epidemics Using Machine Learning and Deep Learning

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Éditeur :

Springer


Collection :

Signals and Communication Technology

Paru le : 2023-02-01

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Description
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.
Pages
325 pages
Collection
Signals and Communication Technology
Parution
2023-02-01
Marque
Springer
EAN papier
9783031197512
EAN PDF
9783031197529

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
16568 Ko
Prix
179,34 €
EAN EPUB
9783031197529

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
53146 Ko
Prix
179,34 €