Application of Bayesian network modeling to pathology informatics

ConclusionsBayesian network models can be used as powerful and flexible risk assessment tools on large clinical datasets and can quantitatively identify variables that are of greatest significance in predicting specific histopathologic diagnoses and their related prognosis. Resulting BN models are able to provide individualized quantitative risk assessments and prognostication for specific abnormal findings commonly reported in gynecological cytopathology and breast pathology.
Source: Diagnostic Cytopathology - Category: Pathology Authors: Tags: SPECIAL ISSUE ARTICLE Source Type: research