Machine learning-based models for advanced fibrosis in non-alcoholic steatohepatitis patients: A cohort study

Figure 2 Shapley Additive Explanations plot: The weight of clinical features for diagnosing advanced liver fibrosis through a random forest algorithm. A: Beeswarm plot; B: Importance bar chart. The plots showed that triglycerides, albumin, international normalized ratio and high-density lipoprotein were the top four indicators. TG: Triglycerides; ALB: Albumin; INR: International normalized ratio; HDL: High-density lipoprotein; GGT: Gamma-glutamyl transferase; AST: Alanine aminotransferase; LSM: Liver stiffness measurement; WBC: White blood cell; CAP: Controlled attenuation parameter; SHAP: Shapley Additive Explanations.