Generate synthetic clinical study data in the form of individual patients.
Using machine learning we will develop a predictive model to predict heart disease
Framingham data progressive unidirectional multi-state model using four states: No disease, Hypertension, Cardiovascular disease, and Death (absorbing).
Applying predictive models on "Framingham Heart Study" dataset.
Carotid Artery Atherosclerosis, Coronary Heart Disease Risk, and Cognitive Impairment: The Framingham Heart Study
Machine learning project predicting cardiovascular disease using the Framingham Heart Study dataset. Explores various models, preprocessing techniques, and hyperparameter tuning to optimize accuracy.
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.
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