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

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 with major COVID-19 issues and challenges, it takes possible AI-based solutions for several 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 innovations and possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machine learning, and data analytics are considered. It aims to include the wide range of audiences from computer science and engineering to healthcare professionals.