This process resulted in a reduced number of predictors used to fit the model, including the following variables: age, delta creatinine, maximum LDH, minimum platelets, minimum hemoglobin, maximum AST, maximum total bilirubin, maximum prothrombin time, maximum partial thromboplastin time, presence of hypertension, presence of cardiovascular disease, presence of kidney disease, presence of liver disease, presence of autoimmune disease, active transplant, active malignancy, active pregnancy, presence of infection, active COVID infection, and mean arterial pressure. The gene discussed is F2; the disease is infection.