Fig. 2: Feature selection by LASSO.
From: Machine learning based early warning system enables accurate mortality risk prediction for COVID-19
a LASSO variable trace profiles of the 34 features whose intracohort missing rates were less than 5%. The vertical dashed line shows the best lambda value 0.014 chosen by tenfold cross validation. b Feature coefficient of LASSO with best lambda value 0.014. High-risk (positive coefficient) and low-risk (negative coefficient) features are colored in red and blue, respectively. Gray features with coefficient 0 were considered redundant and removed, resulting in 14 features left for downstream prognosis modeling. LASSO least absolute shrinkage and selection operator, BUN blood urea nitrogen, RR respiratory rate, COPD chronic obstructive pulmonary disease, Hb hemoglobin, WB, white blood cell count, Cr creatinine, GGT gamma-glutamyl transferase, TB total bilirubin, AST aspartate aminotransferase, ALT alanine transaminase, MAP mean arterial pressure, ALB albumin, SpO2 oxygen saturation, CKD chronic kidney disease.
