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arXiv · 2112.13963

A Bayesian network model for predicting cardiovascular risk

J. M. Ordovas·D. Rios Insua·A. Santos-Lozano·A. Lucia·A. Torres·A. Kosgodagan·J. M. Camacho
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Abstract

We propose a Bayesian network model to make inferences and predictions about cardiovascular risk. Both the structure and the probability tables in the underlying model are built using a large dataset collected in Spain from annual work health assessments, with uncertainty characterized through posterior distributions. We illustrate its use for public health practice, policy and research purposes. A freely available version of the software is included in an Appendix.

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J. M. Ordovas, D. Rios Insua, A. Santos-Lozano, A. Lucia, A. Torres, A. Kosgodagan, J. M. Camacho. 2021-12-28. A Bayesian network model for predicting cardiovascular risk. https://arxiv.org/abs/2112.13963

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