cardiovascular: cardiovascular Bayesian Network

In bnRep: A Repository of Bayesian Networks from the Academic Literature

cardiovascular Bayesian Network

Description

A Bayesian network model for predicting cardiovascular risk.

Format

A discrete Bayesian network allowing for making inferences and predictions about cardiovascular risk factors. Probabilities were given within the referenced paper. The vertices are:

Age

(18-24", 24-34, 34-44, 44-54, 54-64, 64-74);

Anxiety

(No, Yes);

BodyMassIndex

(Normal, Obese, Overweight, Underweight);

Depression

(No, Yes);

Diabetes

(No, Yes);

EducationLevel

(1, 2, 3);

Hypercholesterolemia

(No, Yes);

Hypertension

(No, Yes);

PhysicalActivity

(Insufficiently Active, Regularly Active);

Sex

(Female, Male);

SleepDuration

(6-9hours, <6hours, >9hours);

SmokerProfile

(Ex_Smoker, Non_Smoker, Smoker);

SocioeconomicStatus

(1, 2, 3);

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

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.

bnRep documentation built on April 12, 2025, 1:13 a.m.