Framingham data progressive unidirectional multi-state model using four states: No disease, Hypertension, Cardiovascular disease, and Death (absorbing).
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Updated
Mar 28, 2024 - HTML
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.
Generate synthetic clinical study data in the form of individual patients.
This project contains a Python implementation of logistic regression to predict the risk of developing heart disease in the next 10 years, based on the Framingham dataset from Kaggle. The implementation achieved an accuracy of 87.27% on the test set. The code is available on GitHub under the repository name "HeartDiseaseRiskLR".
Carotid Artery Atherosclerosis, Coronary Heart Disease Risk, and Cognitive Impairment: The Framingham Heart Study
39EI data cleaning and preprocessing project
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