GPT and diabetes mellitus: For high risk MASH (FAST score ≥0.35), the intersection of features identified by both the Boruta and lasso methods yielded a refined set of six features for the subsequent model construction: age, diabetes, ALT, AST, insulin treatment, and TyG-BMI index (Fig. 4).