CLIF-AKI score predicts KDIGO stage 3 acute kidney injury in intensive care unit patients with acute-on-chronic liver failure

Figure 1 Predictor selection using the least absolute shrinkage and selection operator regression method. A: Coefficient profile plot showing the trajectories of predictor coefficients across the log (λ) sequence. The dotted vertical lines indicate the optimal λ values selected according to the minimum criterion and the one-standard-error (1-SE) criterion. Predictors included in the final model were selected based on the 1-SE criterion; B: Ten-fold cross-validation plot used to determine the optimal tuning parameter (λ) in the least absolute shrinkage and selection operator model. The dotted vertical lines represent the λ values corresponding to the minimum criterion and the 1-SE criterion.