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94.1% Accurate Medical AI with Real-time Clinical Explanations
🎯 Clinical Impact
Metric
Clinical Standard
Our Performance
Improvement
Accuracy
85-90%
94.1%
+4.1% to +9.1%
AUC Score
0.85-0.92
0.967
+0.047 to +0.117
Explainability
Limited
100% Coverage
Full Transparency
📊 Performance Proof
94.1% Accuracy Validation
🚀 Live Demo Interface
Professional Medical AI Dashboard
Click image to try live demo
🏗️ System Architecture
Enterprise-Grade Architecture
🔬 Explainable AI
SHAP Global Feature Explanations
🛠️ Quick Start
git clone https://github.com/Ariyan-Pro/ExplainableAI-HeartDisease.git
cd ExplainableAI-HeartDisease
pip install -r requirements.txt
python dashboard/app.py
Built with ❤️ for Clinical AI Transparency
About
🏥 Explainable AI Heart Disease Prediction | 94.1% Accuracy Clinical AI with SHAP + LIME interpretability, Federated Learning (85.9%). Production FastAPI + Gradio interfaces. Enterprise MLOps with MLflow. 94.1% accuracy | 0.967 ROC-AUC | <100ms response | MIT Licensed Deploy to Hugging Face, Streamlit, Render. #AI #Healthcare #MedicalAI