Fig. 4
From: Machine learning for predicting diabetes risk in western China adults
Feature importance of the XGBoost model. HTN hypertension, FBG fasting blood glucose, PDM parental diabetes mellitus, CAD coronary heart disease, WC waist circumference, BMI body mass index, WBC white blood cell, HGB hemoglobin, PLT platelet, TC total cholesterol, TG triglyceride, LDLC low density lipoprotein cholesterol, HDLC high density lipoprotein cholesterol