System Design for Epidemics Using Machine Learning and Deep Learning

✍ Scribed by G. R. Kanagachidambaresan; Dinesh Bhatia; Dhilip Kumar; Animesh Mishra

Publisher: Springer Nature
Year: 2023
Tongue: English
Leaves: 336
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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