Bayesian Networks for Cardiovascular Risk Prediction

A Bayesian network model for predicting cardiovascular risk

We propose a bayesian network model to make inferences and predictions about cardiovascular risk.The model is built using a large dataset collected in spain from annualwork health assessments, with uncertainty characterized through posteriordistributions.We illustrate its use for public health practice, policy and research purposes.