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yogeshrajkumar/cardiointel
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I'm using CardioIntel AI. My blood pressure is 145/92, cholesterol is 240, and I'm 58 years old. What does my risk output likely mean, and what lifestyle changes should I prioritize first?
CardioIntel uses Random Forest, XGBoost, and LightGBM with soft voting. Help me understand in simple terms why combining three models gives a more reliable result than using just one.
CardioIntel flagged my risk level as 'moderate urgency'. Based on elevated blood pressure and high cholesterol, what questions should I bring to my doctor at my next appointment?
I want to extend CardioIntel AI to add a BMI and smoking status field to the risk form. The backend is Flask and the frontend is React. Walk me through what files I'd need to change.
Explain what SHAP values mean in the context of a heart disease risk tool like CardioIntel. How do I read the output to understand which of my measurements matters most?
Full explanation on explaingit →
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