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

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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.

This is a digital product.

COVID-19: Prediction, Decision-Making, and its Impacts 1st Edition is written by K.C. Santosh; Amit Joshi and published by Springer. The Digital and eTextbook ISBNs for COVID-19: Prediction, Decision-Making, and its Impacts are 9789811596827, 9811596824 and the print ISBNs are 9789811596810, 9811596816.