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This Springer book provides a perfect platform to submit chapters that discuss the prospective developments and innovative ideas in artificial intelligence and machine learning techniques in the diagnosis of COVID-19. COVID-19 is a huge challenge to humanity and the medical sciences.
Uncertainty Propagation and Salient Features Maps in Deep Learning Architectures for Supporting Covid-19 Diagnosis.- A review of Machine Learning techniques to detect and treat COVID-19 using EHR data.- Machine Learning-Based Emerging Technologies in the Post Pandemic Scenario.- Biomedical Data Driven COVID-19 Prediction using Machine Learning Approach.- Impact of COVID-19 on Indian Agriculture.- Coordination of Covid-19 vaccination: an optimization problem and related tools derived from telecommunications systems.
Ioana Boureanu, Constantin Cătălin Drăgan, Mark Manulis, Thanassis Giannetsos, Christoforos Dadoyan, Panagiotis Gouvas, Roger A. Hallman, Shujun Li, Victor Chang, Frank Pallas, Jörg Pohle, Angela Sasse