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COVID-19: Prediction, Decision-Making, and its Impacts
Hoofdkenmerken
Auteur: K.C. Santosh; Amit Joshi
Titel: COVID-19: Prediction, Decision-Making, and its Impacts
Uitgever: Springer Nature
ISBN: 9789811596827
ISBN boekversie: 9789811596810
Editie: 1
Prijs: € 143,87
Verschijningsdatum: 11-12-2020
Inhoudelijke kenmerken
Categorie: Engineering (General)
Taal: English
Imprint: Springer
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

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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