… COVID-19 epidemic has resulted in millions of deaths and has impacted practically every
area of human life. Several machine learning … , notably in COVID-19 management. Different …

… COVID-19 literature that utilized AI-based methods to provide insights into different COVID-19
… Our findings highlight important variables, data types, and available COVID-19 resources …

… in coronavirus disease (COVID-19). Materials and Methods: A bibliometric analysis was
performed using a machine learning … An exponential increase in the COVID-19 publications …

… -19 investigations, prediction, and discrimination. In conclusion, machine learning can be …
health provider programs and plans to assess and triage the COVID-19 cases. Supervised …

… of machine learning in resolving the COVID-19 pandemic crisis. This paper studied how
machine learning algorithms and methods can be employed to fight the COVID-19 virus and the …

… detection of COVID-19 positive individuals. In this research we employed different machine
learning algorithms using full blood count for the prediction of COVID-19. These algorithms …

… coronavirus disease (COVID-19) hospitalized patients are always at risk of death. Machine
learning (… potential solution for predicting mortality in COVID-19 hospitalized patients. So, our …

… COVID-19 outbreak and variation in its behavior across nations, this study suggests machine
learning as … to demonstrate the potential of machine learning for future research. This paper …

… In this paper, we are working on a pandemic of novel coronavirus (COVID-19). COVID-19
is an infectious disease, it creates severe damage in the lungs. COVID-19 causes illness in …

… machine learning … since COVID-19 outbreak, advanced machine learning techniques have
been used in taxonomic classification of COVID-19 genomes (8), CRISPR-based COVID-19 …