title: Computer-assisted diagnosis of acute azotaemia: diagnostic strategy and diagnostic criteria.
abstract: This report describes the diagnostic strategy, cost-effectiveness and diagnostic accuracy of a rule-based, backward chaining diagnostic expert system designed to assist in diagnosing the cause(s) of acute azotaemia. The diagnostic strategy of the expert system seems to be cost-effective compared with that of a renal unit and the diagnostic criteria of the expert system accurately imitate the diagnoses of the renal unit. It is suggested that the expert system is diagnostically reliable and may reduce cost in the diagnostic work-up of patients with acute azotaemia.
authors.affiliation: Department of Nephrology, Hvidovre Hospital, Denmark.
authors.forename: S
authors.initials: S
authors.lastname: Fugleberg
authors.forename: A
authors.initials: A
authors.lastname: Greulich
authors.forename: D I
authors.initials: DI
authors.lastname: Stenver
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation*; D003937:Diagnosis, Differential; D005103:Expert Systems; D005260:Female; D006801:Humans; D007674:Kidney Diseases / Q000150:complications / Q000175:diagnosis; D008297:Male; D008838:Microcomputers; D008875:Middle Aged; D012984:Software; D014511:Uremia / Q000209:etiology*