Generate synthetic clinical study data in the form of individual patients.

Framingham data progressive unidirectional multi-state model using four states: No disease, Hypertension, Cardiovascular disease, and Death (absorbing).

Using machine learning we will develop a predictive model to predict heart disease

Applying predictive models on "Framingham Heart Study" dataset.

Machine learning project predicting cardiovascular disease using the Framingham Heart Study dataset. Explores various models, preprocessing techniques, and hyperparameter tuning to optimize accuracy.

Carotid Artery Atherosclerosis, Coronary Heart Disease Risk, and Cognitive Impairment: The Framingham Heart Study

Logistic regression model predicting 10 year coronary heart disease risk using the Framingham Heart Study dataset. Includes median imputation, feature scaling, and full evaluation with precision, recall, F1, and ROC AUC.

39EI data cleaning and preprocessing project

This Excel tool estimates a person’s 10-year risk of developing coronary heart disease (CHD) using the Framingham 2008 general cardiovascular disease (CVD) risk model.

End-to-end machine learning app for coronary heart disease risk prediction and screening