AI-Based Stroke Prediction Using Machine Learning: A Comparative Model Evaluation with SHAP Explainability

Exploring foci of: International Journal For Multidisciplinary Research • Vol 7 • No 4 AI-Based Stroke Prediction Using Machine Learning: A Comparative Model Evaluation with SHAP Explainability July 2025 • Chitra Devi Thangavelu, Gnanaguru PP, Arunkumar VL, Anlin Sahaya Infant Tinu M Stroke is a major global health concern and a leading cause of mortality and long-term disability. Early detection through predictive modeling can significantly improve clinical outcomes and reduce the burden on healthcare systems. This study presents a comprehensive machine learning approach to stroke prediction using clinical data. Three classifiers Random Forest, XGBoost, and Logistic Regression were implemented and evaluated based on accuracy, AUC, and confusion matrices. SHAP (Shapley Additive explanations) w… Open Article Page

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