Kamalov, FiruzCherukuri, Aswani KumarSulieman, HanaThabtah, Fadi2023-10-042023-10-04© 20232022-01-01Kamalov, F., Cherukuri, A. K., Sulieman, H., Thabtah, F., & Hossain, A. (2023). Machine learning applications for COVID-19: a state-of-the-art review. In A. K. Tyagi & A. Abraham (Eds.), Data Science for Genomics (pp. 277-289). Academic Press. https://doi.org/10.1016/B978-0-323-98352-5.00010-0978-032398352-5, 978-032398576-5https://doi.org/10.1016/B978-0-323-98352-5.00010-0https://hdl.handle.net/20.500.12519/851enApplicationsCovid-19DiagnosisForecastingMachine learningSurveyMachine learning applications for COVID-19: a state-of-the-art reviewBook chapterCopyright : © 2023 Elsevier Inc. All rights reserved.