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.

System Design for Epidemics Using Machine Learning and Deep Learning

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Hardback by G. R. Kanagachidambaresan , Dinesh Bhatia

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This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The... Read more

    Publisher: Springer International Publishing AG
    Publication Date: 02/02/2023
    ISBN13: 9783031197512, 978-3031197512
    ISBN10: 3031197518

    Number of Pages: 325

    Non Fiction , Technology, Engineering & Agriculture , Education

    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.

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