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.
@article{arxiv.2112.13963,
title = {A Bayesian network model for predicting cardiovascular risk},
author = {J. M. Ordovas and D. Rios Insua and A. Santos-Lozano and A. Lucia and A. Torres and A. Kosgodagan and J. M. Camacho},
journal= {arXiv preprint arXiv:2112.13963},
year = {2022}
}
Comments
16 pages, 7 tables, 2 figures, companion software (free for academic use) Update: Format edited