Deep exploration and precise identification of key risk factors for diabetic peripheral neuropathy using the random forest algorithm

The Random Forest-based DPN risk prediction model successfully identified five critical risk factors, offering a solid theoretical foundation for personalized strategies in DPN prevention and management among patients with diabetes. This model exhibits high predictive utility in clinical practice.