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Heart Disease Prediction with Explainable AI by alestiuk is a document available to read on EtoBox.

The presentation discusses a research project aimed at improving heart disease prediction through a Stacked Ensemble Framework that incorporates Explainable AI tools like SHAP and LIME. The study highlights the importance of not only achieving high accuracy but also providing transparency and reasoning behind predictions to bridge the trust gap between AI and medical professionals. Key findings include the

Author
alestiuk
Language
EN