CardioXAI v2.0 is a clinically interpretable machine learning system for heart disease prediction designed for clinical decision support. The system uses Logistic Regression for prediction and SHAP (SHapley Additive exPlanations) to generate interpretable explanations for each case.

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Ensemble-XAI Heart Disease Detection Framework

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CardioXAI is a multi-modal medical AI web application that integrates Machine Learning, Deep Learning, and model interpretability techniques to assist in predicting heart disease from clinical tabular data and pneumonia from chest X-ray images.