title: Diagnostic decision support by inference networks.
abstract: Inference networks permit the combining of diagnostic evidence in such a fashion that the mutual dependence structure of different pieces of evidence is considered, and that a probabilistic measure of the uncertainty of the final diagnostic decision is provided. Operated in an automatic reasoning mode, an inference network allows a decoupling of the false negative rate from the false positive rate in diagnostic procedures involving rare event detection such as the prescreening for cervical cancer.
authors.affiliation: Optical Sciences Center, University of Arizona, Tucson.
authors.forename: P H
authors.initials: PH
authors.lastname: Bartels
authors.forename: D
authors.initials: D
authors.lastname: Thompson
authors.forename: J E
authors.initials: JE
authors.lastname: Weber
mesh_terms: D003936:Diagnosis, Computer-Assisted; D006801:Humans; D016571:Neural Networks, Computer; D011237:Predictive Value of Tests