Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study - Guan, Xin; Zhang, Bo; Fu, Ming; Li, Mengying; Yuan, Xu; Zhu, Yaowu; Peng, Jing; Guo, Huan; Lu, Yanjun (Annals of medicine (Helsinki), 2021)
Keywords: Adult; Aged; Aged, 80 and over; C-Reactive Protein - metabolism; Cardiovascular Diseases - epidemiology; China - epidemiology; Clinical Decision Rules; Cohort Studies; Comorbidity; COVID-19; COVID-19 - epidemiology; COVID-19 - metabolism; COVID-19 - mortality; COVID-19 - physiopathology; Diabetes Mellitus - epidemiology; extreme gradient boosting; fatal risk; Female; Ferritins - metabolism; Hospitalization; Humans; Hypertension - epidemiology; Immunology; Interleukin-10 - metabolism; L-Lactate Dehydrogenase - metabolism; Machine Learning; Male; Middle Aged; Prognosis; Reproducibility of Results; Retrospective Studies; SARS-CoV-2; Severity of Illness Index; China; COVID-19; extreme gradient boosting; fatal risk; machine learning