title: Colonic lesion expert system. Performance evaluation.
abstract: A computer-based expert system for diagnosing colonic sections as normal, adenoma or adenocarcinoma is described, along with an evaluation of its performance. On the basis of its knowledge base, consisting of the values of diagnostic clues and their associated certainty factors for the possible diagnoses, the system will suggest the diagnosis for new cases presented to it. Using the data provided for 16 diagnostic clues, the system arrived at correct diagnoses for all cases of normal colon, for 49 of 50 cases of adenoma and for 48 of 49 cases of adenocarcinoma. Sample outputs from the expert system are presented and discussed, and the effects of possible alterations in the data base are considered.
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
authors.forename: W
authors.initials: W
authors.lastname: Griswold
authors.forename: W
authors.initials: W
authors.lastname: Kuhn
authors.forename: S H
authors.initials: SH
authors.lastname: Paplanus
authors.forename: A R
authors.initials: AR
authors.lastname: Graham
mesh_terms: D000230:Adenocarcinoma / Q000175:diagnosis; D000236:Adenoma / Q000175:diagnosis; D003110:Colonic Neoplasms / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted / Q000592:standards*; D003937:Diagnosis, Differential; D003951:Diagnostic Errors; D005103:Expert Systems; D006801:Humans