title: An expert system on the diagnosis of ascites.
abstract: We constructed an expert system on the diagnosis of ascites, using a combination of case reports and unpublished patient data. Rule production was by induction from examples, and the program operated on an algorithm which was a modification of Quinlan's ID3. The result was a small, but formally complete expert system. When tested against a new data set of patients, our expert system predicted the clinical diagnosis 82% of the time.
authors.affiliation: Cardiology Division, University of Miami School of Medicine, Florida 33101.
authors.forename: E L
authors.initials: EL
authors.lastname: Kinney
authors.forename: D
authors.initials: D
authors.lastname: Brafman
authors.forename: R J
authors.initials: RJ
authors.lastname: Wright
mesh_terms: D001201:Ascites / Q000175:diagnosis* / Q000209:etiology; D003936:Diagnosis, Computer-Assisted; D005103:Expert Systems; D006801:Humans; D008838:Microcomputers; D012986:Software Validation