title: The knowledge model of MedFrame/CADIAG-IV.
abstract: The medical consultation system MedFrame/CADIAG-IV is a successor of the prior CADIAG projects. It is the result of a complete redesign to account for today's demands on state-of-the-art software. Its knowledge representation and inference process are based on fuzzy set theory and fuzzy logic. Fuzzy sets are used for conversions from measured numeric values and observational data into symbolic ones. Medical relationships between findings, diseases, and therapies, the rules, are represented by fuzzy relations, that express positive or negative associations. Findings, diseases, and therapies are organised in hierarchies.
authors.affiliation: Department of Medical Computer Sciences, University of Vienna, Medical School, Austria. b.s.@trulli.imc.akh-wien.ac.at
authors.forename: B
authors.initials: B
authors.lastname: Sageder
authors.forename: K
authors.initials: K
authors.lastname: Boegl
authors.forename: K P
authors.initials: KP
authors.lastname: Adlassnig
authors.forename: G
authors.initials: G
authors.lastname: Kolousek
authors.forename: B
authors.initials: B
authors.lastname: Trummer
mesh_terms: D001185:Artificial Intelligence; D003195:Computer Communication Networks; D016494:Computer Security; D003628:Database Management Systems; D003936:Diagnosis, Computer-Assisted; D005103:Expert Systems; D017143:Fuzzy Logic; D006751:Hospital Information Systems; D006801:Humans; D016347:Medical Records Systems, Computerized; D012985:Software Design; D013813:Therapy, Computer-Assisted