In machine learning models for predicting the onset of diabetic neuropathy, feature importance analysis of XGBoost and SVM showed that the top five variables of XGBoost were UCr, disease duration, D-dimer, CA199, and albumin. This evidence concerns the gene ALB and diabetic neuropathy.