Alballa, N., & Al-Turaiki, I. (2021). Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review. Informatics in medicine unlocked, 24, 100564. https://doi.org/10.1016/j.imu.2021.100564
Chicago Style (17th ed.) CitationAlballa, Norah, and Isra Al-Turaiki. "Machine Learning Approaches in COVID-19 Diagnosis, Mortality, and Severity Risk Prediction: A Review." Informatics in Medicine Unlocked 24 (2021): 100564. https://doi.org/10.1016/j.imu.2021.100564.
MLA (9th ed.) CitationAlballa, Norah, and Isra Al-Turaiki. "Machine Learning Approaches in COVID-19 Diagnosis, Mortality, and Severity Risk Prediction: A Review." Informatics in Medicine Unlocked, vol. 24, 2021, p. 100564, https://doi.org/10.1016/j.imu.2021.100564.