Fig. 10

Feature Importance. A Random Forests classifier was utilized to predict the bradycardia risk in diabetic patients in a bootstrapping manner. The model returns a score showing the percentage of each feature’s involvement in the prediction. Accordingly, the distribution of each feature’s score was obtained.