Abstract —This paper applies explanatory artificial intelligence (XAI) techniques to interpret a logistic regression model predicting heart attacks. I use Shapley Additive Explanations (SHAP) and Local Interpretable Model-Independent Explanations (LIME) to improve the transparency of model predictions.

Explainable AI for Heart Attack Prediction through Retinal Vascular Biomarkers