title: Case-based reasoning for medical knowledge-based systems.
abstract: In many domains Case-based Reasoning (CBR) has become a successful technique for knowledge-based systems. In medical domains, attempts to apply the complete CBR cycle are rather exceptional. Some systems have recently been developed, which on the one hand use only parts of the CBR method, mainly the retrieval, and on the other hand enrich the method by a generalisation step to fill the knowledge gap between the specificity of single cases and general rules. So, in this paper we discuss the appropriateness of CBR for medical knowledge-based systems, point out problems, limitations and possibilities how they can partly be overcome.
authors.affiliation: Institute for Medical Informatics and Biometry, University of Rostock, Rembrandtstr. 16/17, D-18055 Rostock, Germany.
authors.forename: R
authors.initials: R
authors.lastname: Schmidt
authors.forename: L
authors.initials: L
authors.lastname: Gierl
mesh_terms: D001185:Artificial Intelligence; D020000:Decision Support Systems, Clinical; D005103:Expert Systems; D006801:Humans; D016247:Information Storage and Retrieval