Integrating ultrasound and serum indicators for evaluating outcomes of targeted immunotherapy in advanced liver cancer

Figure 3 Analysis of variable importance and its correlation with area under the curve. A: Receiver operating characteristic curves of different machine learning models in the internal validation cohort; B: The top ten most important variables, ranked by their contribution to the model; C: Area under the curve values corresponding to varying numbers of selected variables. A peak area under the curve is observed with four variables. AUC: Area under the curve; CI: Confidence interval; PLT: Platelet count; WBC: White blood cell count; ALB: Albumin; ALT: Alanine aminotransferase; IBIL: Indirect bilirubin; GGT: Gamma-glutamyl transferase; TBIL: Total bilirubin.