Fig. 2From: Evaluation of disease severity and prediction of severe cases in children hospitalized with influenza A (H1N1) infection during the post-COVID-19 era: a multicenter retrospective studySelection of candidate predictive variables using LASSO regression. AÂ LASSO coefficient profiles of these all potential predictive variables. The coefficient profile plot was generated against the log lambda sequence. BÂ Tuning parameter (lambda) selection in the LASSO model using 10-fold cross-validation via one standard error of the minimum criteria (lambda.1se). Based on lambda.1se, 14 variables with non-zero coefficients were selected. LASSO, Least Absolute Shrinkage and Selection OperatorBack to article page