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Heart Disease Risk Prediction Model by Vedika Bajaj is a document available to read on EtoBox.

What is Heart Disease Risk Prediction Model about?

This project aims to predict the 10-year risk of coronary heart disease (CHD) using machine learning techniques applied to data from the Framingham Heart Study. A Random Forest classifier was developed and deployed through interactive Voila and Flask applications, providing users with personalized health insights and actionable advice. Future enhancements include incorporating additional patient data and advanced machine learning models for improved accuracy and user experience.

Author

Vedika Bajaj

Language

EN