Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network to predict whether or not a patient has diabetes, based on certain diagnostic measurements. The Bayesian network is learned as in the referenced paper. The vertices are:
Age (Low, High);
Test for diabetes (Neg, Pos);
Plasma glucose concentration (Low, High);
2-hour serum insulin (Low, High);
Body mass index (Low, High);
Diabetes pedigree function (Low, High);
Number of times pregnant (Low, High);
Diastolic blood pressure (Low, High);
Triceps skin fold thickness (Low, High);
Leonelli, M., Ramanathan, R., & Wilkerson, R. L. (2023). Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package. Knowledge-Based Systems, 278, 110882.