Neural network analysis of clinical variables predicts escalated care in COVID-19 patients: a retrospective study - Lu, Joyce Q.; Musheyev, Benjamin; Peng, Qi; Duong, Tim Q. (PeerJ (San Francisco, CA), 2021)
Keywords: Age; Algorithms; Bioinformatics; Blood pressure; C-reactive protein; Cardiovascular disease; Cell number; Chronic obstructive pulmonary disease; Coronavirus; Coronaviruses; COVID-19; Creatinine; Demography; Emergency and Critical Care; Emergency medical care; Emergency medicine; Epidemiology; Game theory; Heart failure; Hematology; Hospital patients; Hospitalization; Infectious Diseases; L-Lactate dehydrogenase; Laboratories; Lactic acid; Lymphocytes; Machine learning; Medical research; Medicine, Experimental; Mortality; Neural networks; Patients; Pneumonia; Prediction models; Predictive model; Rankings; SARS-CoV-2; Severe acute respiratory syndrome coronavirus 2; Variables; Vital signs; China; Pneumonia; SARS-CoV-2; Coronavirus; Machine learning; Predictive model