title: Expert systems in histopathology. IV. The management of uncertainty.
abstract: Expert systems deal with data that are categorical and conceptual, that represent elements of fuzzy sets and that often, by themselves, do not allow an unequivocal decision. The management of uncertainty in expert systems thus becomes a crucial issue. It involves defining measures of uncertainty and procedures for combining accumulating evidence in a manner that properly considers the dependence structure of diagnostic clues. Probability theory offers valuable procedures for uncertainty assessment; however, their practical application in the domain of quantitative histopathology and histopathologic diagnosis can be problematic.
authors.affiliation: Optical Sciences Center, University of Arizona, Tucson 85721.
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 / Q000379:methods*; D003951:Diagnostic Errors; D005103:Expert Systems; D006652:Histological Techniques; D006801:Humans; D010336:Pathology / Q000379:methods*; D011336:Probability