Figure 4.

Feature selection using the least absolute shrinkage and selection operator (LASSO) logistic regression model. (A) LASSO coefficient profiles of the 29 baseline features. (B) Tuning parameter (λ) selection in the LASSO model used 1,000-fold cross-validation via minimum criteria. Receiver operating characteristic curve for the performance of different machine learning techniques to distinguish individuals with COVID-19 from those with critical illness COVID-19 in the training cohort (C) and validation cohort 1 (D), respectively. AUC, area under the receiver operating characteristic curve. The true positive rate represents module sensitivity, whereas the false positive rate is one minus the specificity.