BACKGROUND: Previous studies showed that the Pooled Cohort Equations substantially overestimate atherosclerotic ...
OCHIN researchers describe project designed to improve risk estimates by combining clinical information with patients’ lived ...
User Input (web form) │ Preprocessing (StandardScaler) │ Trained ML Model (Logistic Regression / KNN / SVM / Random Forest) │ Prediction + Risk Probability → displayed on screen Three independent ...
An end-to-end Machine Learning project that predicts the likelihood of heart disease using patient health parameters. The project covers the complete machine learning workflow including data ...
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