Using machine learning to predict COVID-19 infection and severity risk among 4510 aged adults: a UK Biobank cohort study - Willette, Auriel A.; Willette, Sara A.; Wang, Qian; Pappas, Colleen; Klinedinst, Brandon S.; Le, Scott; Larsen, Brittany; Pollpeter, Amy; Li, Tianqi; Mochel, Jonathan P.; Allenspach, Karin; Brenner, Nicole; et al. (Scientific reports, 2022)
Keywords: 631/114/2413; 631/250; 692/499; 692/53; 692/699; 692/699/255/2514; Adult; Biobanks; Biological Specimen Banks; Body mass; Cohort analysis; Cohort Studies; Coronaviruses; COVID-19; COVID-19 - diagnosis; COVID-19 - epidemiology; Cytomegalovirus; Discriminant analysis; Health risks; Hospitalization; Humanities and Social Sciences; Humans; Infections; Infectious diseases; Lipids; Machine Learning; Middle Aged; multidisciplinary; Public health; Retrospective Studies; Risk Factors; SARS-CoV-2; Science; Science (multidisciplinary); Serology; United Kingdom - epidemiology; United Kingdom; United Kingdom--UK