General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study

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Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis (2017, result): “We also compared the results of RF techniques to other known risk scores.(41-43)”
Epidemiology of peripheral artery disease. (2015, methodology): “General Framingham score is used to predict a composite outcome of CHD, stroke, IC, or congestive heart failure.(107)”
Assessing Calibration of Prognostic Risk Scores (2013, methodology): “Our research question is whether the Framingham risk score, which was designed to predict the risk of CVD in the general population, accurately predicts the risk of CVD in patients with RA.4,5 To examine this question, we make use of a data set of 525 patients aged 30þ years with incident RA and no ”
Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2 (2008, methodology): “This study improves on our original equation for cardiovascular risk in terms of its potential application as outlined above and also because the more complex model has slightly better discrimination (that is, greater ability to separate patients at high and low risk) than our original model. The QR”