COVID-19: Prediction, Decision-Making, and its Impacts

Download or Read eBook COVID-19: Prediction, Decision-Making, and its Impacts PDF written by K.C. Santosh and published by Springer Nature. This book was released on 2020-12-11 with total page 137 pages. Available in PDF, EPUB and Kindle.
COVID-19: Prediction, Decision-Making, and its Impacts
Author :
Publisher : Springer Nature
Total Pages : 137
Release :
ISBN-10 : 9789811596827
ISBN-13 : 9811596824
Rating : 4/5 (27 Downloads)

Book Synopsis COVID-19: Prediction, Decision-Making, and its Impacts by : K.C. Santosh

Book excerpt: 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.


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