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Machine learning applications for COVID-19: a state-of-the-art review

Firuz Kamalov, Aswani Kumar Cherukuri, Hana Sulieman, Fadi Thabtah, A. B. M. Jonayed Hossain

2023Elsevier eBooks36 citationsDOI

Topics & Concepts

Coronavirus disease 2019 (COVID-19)State (computer science)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakState of artComputer scienceVirologyMedicineData scienceProgramming languageInfectious disease (medical specialty)OutbreakDiseasePathologyCOVID-19 diagnosis using AIAnomaly Detection Techniques and ApplicationsCOVID-19 Clinical Research Studies
Machine learning applications for COVID-19: a state-of-the-art review | Litcius