AI in Medicine News ・ 🩺 Clinical decision support

Explainable AI framework blends calibrated models to predict heart disease risk

Bioengineer.org · 10/25 13:54 UTC

Researchers report a feature-weighted, calibrated explainable AI framework that reached 91.07% accuracy on a cleaned heart disease dataset. The framework exposes its reasoning through SHAP and LIME.

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