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

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Description

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.
Pages
137 pages
Collection
Lecture Notes on Data Engineering and Communications Technologies
Parution
2020-12-11
Marque
Springer
EAN papier
9789811596810
EAN PDF
9789811596827

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
2877 Ko
Prix
126,59 €
EAN EPUB
9789811596827

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
6584 Ko
Prix
126,59 €