Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
System Design for Epidemics Using Machine Learning and Deep Learning

System Design for Epidemics Using Machine Learning and Deep Learning

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

Paperback

Series: Signals and Communication Technology

Medical ReferenceTechnology & EngineeringGeneral Computers

ISBN10: 3031197542
ISBN13: 9783031197543
Publisher: Springer
Published: Feb 2 2024
Pages: 325
Weight: 1.07
Height: 0.72 Width: 6.14 Depth: 9.21
Language: English
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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