… of prediction models for risk of cardiovascular disease (CVD) … of new risk prediction models
for cardiovascular disease (CVD) … for most of these developed models. Notwithstanding a few …

… Methods Eligible models and literature search We assessed prediction models for the risk
of cardiovascular disease in general populations that were considered in two recent expert …

… to an established risk prediction model. Researchers often … discriminatory ability of a risk
prediction model. However, recent … various risk prediction models for cardiovascular diseases, to …

… incorporated into clinical practice for cardiovascular disease prediction and treatment decisions.
… that prediction models that consider social variables also benefit from flexible modeling …

… To find any impact studies of the retrieved cardiovascular prediction models, we first searched
among the publications that were identified through the first and second search strategy. …

… Cardiovascular disease (CVD) is the leading cause of death worldwide and a major public
health concern. CVD prediction is … prediction model including multivariate regression model, …

… cardiac arrest, 9 already exist. Prime examples of such prediction models in cardiovascular
diseases … recently updated SCORE2 11 for cardiovascular disease prediction in the general …

… Traditionally, statistical models are used commonly in the risk prediction … predict the outcome
of CVD. In this review, we outline various conventional risk scores and prediction models …

… on one of the models induced during this work in a hospital environment, such as applying
more robust algorithms, like neural networks, to boost the performance of the model. This …

… to predict potential cardiovascular diseases in people based on the attributes present. In
order to conduct this analysis, publicly available Cleveland dataset for cardiovascular disease …