A LightGBM model trained on undersampled 2015 BRFSS data is wrapped in a Dash app with SHAP, LIME, and comorbidity insights for interactive diabetes risk prediction.
Diabetes diagnosis through machine learning: Investigating algorithms and data augmentation for class imbalanced BRFSS dataset,
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Interactive Diabetes Risk Prediction Using Explainable Machine Learning: A Dash-Based Approach with SHAP, LIME, and Comorbidity Insights
A LightGBM model trained on undersampled 2015 BRFSS data is wrapped in a Dash app with SHAP, LIME, and comorbidity insights for interactive diabetes risk prediction.