Fig. 3.

Feature selection process for all-cause mortality based on Boruta’s algorithm (A) and the value evolution of Z-score in the screening process (B). Feature selection process for cardiovascular mortality based on Boruta’s algorithm (C) and the value evolution of Z-score in the screening process (D). In A and C, the horizontal axis represents the variable name and the vertical axis represents the Z-values of each variable. In B and D, the horizontal axis represents the number of iterations, and the vertical axis represents the change in Z-values during the screening process. The blue boxes and lines correspond to the minimum, average, and maximum Z-scores for a shadow feature. The green boxes and lines represent the confirmed variables and the red ones represent the rejected variables in the model calculation. CVD cardiovascular disease, Scr serum creatinine, SBP systolic pressure, BUN blood urea nitrogen, METS-IR metabolic score for Insulin resistance, FPG fasting plasma glucose, ALT alanine transaminase, HbA1C glycosylated hemoglobin, DBP diastolic pressure, HDL-C high-density lipoprotein-cholesterol, GGT gamma glutamyl transferase, HOMA-IR homeostatic model assessment of insulin resistance, TG triglyceride, TyG index triglyceride glucose index, FINS fasting serum insulin, AST aspartate transaminase, LDH lactate dehydrogenase, TBil total bilirubin, MetS metabolic syndrome, TC cholesterol, K potassium, LDL-C low-density lipoprotein-cholesterol, PLT blood platelet, WBC white blood cells, Fe iron, Na sodium, BMI body mass index, PIR the ratio of family income to poverty