Research on a Predictive Model for Microalbuminuria in Type 2 Diabetes Based on Machine Learning and SHAP Analysis.

Key Points

• The aim is to create a machine learning model that predicts microalbuminuria in type 2 diabetes patients for better clinical guidance.
• Developed an interpretable machine learning model
• Utilized SHAP analysis for feature importance
• Focused on baseline data for risk assessment
• Identified high-risk individuals effectively
• Enabled improved risk stratification
• Facilitated optimization of clinical interventions