COVID-19: Prediction, Decision-Making, and its Impacts (Paperback, 1st ed. 2021)

The book aims to outline the issues of AI and COVID-19, involving predictions,medical support decision-making, and possible impact on human life. Starting withmajor COVID-19 issues and challenges, it takes possible AI-based solutions forseveral problems, such as public health surveillance, early (epidemic) prediction,COVID-19 positive case detection, and robotics integration against COVID-19.Beside mathematical modeling, it includes the necessity of changes in innovationsand possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machinelearning, and data analytics are considered. It aims to include the wide range ofaudiences from computer science and engineering to healthcare professionals.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Lecture Notes on Data Engineering and Communications Technologies, 60
Release date:	December 2020
First published:	2021
Editors:	K. C. Santosh • Amit Joshi
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	137
Edition:	1st ed. 2021
ISBN-13:	978-981-15-9681-0
Categories:	Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing Books > Social sciences > Sociology, social studies > Social institutions > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	981-15-9681-6
Barcode:	9789811596810

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