A Bayesian network model for predicting cardiovascular risk.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network allowing for making inferences and predictions about cardiovascular risk factors. Probabilities were given within the referenced paper. The vertices are:
(18-24", 24-34, 34-44, 44-54, 54-64, 64-74);
(No, Yes);
(Normal, Obese, Overweight, Underweight);
(No, Yes);
(No, Yes);
(1, 2, 3);
(No, Yes);
(No, Yes);
(Insufficiently Active, Regularly Active);
(Female, Male);
(6-9hours, <6hours, >9hours);
(Ex_Smoker, Non_Smoker, Smoker);
(1, 2, 3);
Ordovas, J. M., Rios-Insua, D., Santos-Lozano, A., Lucia, A., Torres, A., Kosgodagan, A., & Camacho, J. M. (2023). A Bayesian network model for predicting cardiovascular risk. Computer Methods and Programs in Biomedicine, 231, 107405.