Predicting prognosis in COVID-19 patients using machine learning and readily available clinical data Article Swipe

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Medicine Severity of illness Emergency medicine Framingham Risk Score Risk assessment Cohort Acute respiratory distress Test (biology) Coronavirus disease 2019 (COVID-19) Intensive care medicine Internal medicine Disease Computer science Computer security Biology Paleontology Lung Infectious disease (medical specialty)

T. Campbell , Melissa P. Wilson , Heinrich Röder , Samantha MaWhinney , Robert W. Georgantas , Laura Maguire , Joanna Roder , Kristine M. Erlandson ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1016/j.ijmedinf.2021.104594 · OA: W3202689906

Risk of severe outcomes for patients hospitalized with COVID-19 infection can be assessed using machine learning-based models based on attributes routinely collected at hospital admission.