Based on the Boruta feature selection algorithm, 13 variables were confirmed as important predictors, including sex, eGFR, CRP, hypertension, PIR, coronary heart disease, education level, LMR, age, BMI, race, diabetes and marital status, while two variables (smoking status and stroke) were excluded due to insufficient importance (Figure 5). The gene discussed is CRP; the disease is Stroke.