Bayesian belief network for the Gleason patterns in prostatic adenocarcinoma: development of a diagnostic decision support system for educational purposes.


OBJECTIVE To develop a Bayesian belief network (BBN) for Gleason grading of prostate adenocarcinoma. STUDY DESIGN A shallow network was developed for Gleason grading with open-tree topology, with a root node containing 5 subjective diagnostic alternatives and 8 first-level descendant nodes for diagnostic features. Features or diagnostic clues of the… (More)