From heterogeneous healthcare data to disease-specific biomarker networks: A hierarchical Bayesian network approach
Fig 1
Hypotetical example Bayesian network with and without variable grouping.
(A) Example model of a modular detailed Bayesian network with variables waist circumference (waist_c), body fat percentage (fat_perc), BMI and three blood pressure measurements (blood_pr1, blood_pr2, blood_pr3) as well as a target disease. (B) Possible grouping of the variables in the network. (C) Corresponding group Bayesian network among two groups and the target variable.