title: Colonic lesion expert system. Evaluation of sensitivity.
abstract: In a previous study, an expert system using visually assessed diagnostic clues for diagnosing colonic tissue as normal, adenoma or adenocarcinoma arrived at diagnoses agreeing with the evaluation by pathologists ("correct diagnoses") for all 49 cases of normal colon, for 49 of 50 cases of adenoma and for 48 of 49 cases of adenocarcinoma. The present study examined the robustness and sensitivity of the expert system to changes in the knowledge base, to changes in criteria specified by the user and to missing information. Alternative rules for combining certainty factors are discussed.
authors.affiliation: Department of Statistics, University of Arizona, Tucson 85721.
authors.forename: J E
authors.initials: JE
authors.lastname: Weber
authors.forename: P H
authors.initials: PH
authors.lastname: Bartels
mesh_terms: D000230:Adenocarcinoma / Q000175:diagnosis* / Q000473:pathology; D000236:Adenoma / Q000175:diagnosis* / Q000473:pathology; D003110:Colonic Neoplasms / Q000175:diagnosis* / Q000473:pathology; D003936:Diagnosis, Computer-Assisted / Q000592:standards*; D003937:Diagnosis, Differential; D006801:Humans