Machine learning applications for COVID-19: A state-of-the-art review. (arXiv:2101.07824v1 [cs.LG])

The COVID-19 pandemic has galvanized the machine learning community to create
new solutions that can help in the fight against the virus. The body of
literature related to applications of machine learning and artificial
intelligence to COVID-19 is constantly growing. The goal of this article is to
present the latest advances in machine learning research applied to COVID-19.
We cover four major areas of research: forecasting, medical diagnostics, drug
development, and contact tracing. We review and analyze the most successful
state of the art studies. In contrast to other existing surveys on the subject,
our article presents a high level overview of the current research that is
sufficiently detailed to provide an informed insight.



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