title: Cased-Based Reasoning for medical knowledge-based systems.
abstract: In this paper we present the results of the MIE/GMDS-2000 Workshop 'Case-Based Reasoning for Medical Knowledge-based Systems'. While in many domains Cased-Based Reasoning (CBR) has become a successful technique for knowledge-based systems, in the medical field 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. And some systems rely on integrating CBR and other problem solving methodologies. In this paper we discuss the appropriateness of CBR for medical knowledge-based systems, point out problems, limitations and possible ways to cope with them.
authors.affiliation: Institute for Medical Informatics and Biometry, University of Rostock, Rembrandtstrasse 16/17, 18055 Rostock, Germany. rainer.schmidt@medizin.uni-rostock.de
authors.forename: R
authors.initials: R
authors.lastname: Schmidt
authors.forename: S
authors.initials: S
authors.lastname: Montani
authors.forename: R
authors.initials: R
authors.lastname: Bellazzi
authors.forename: L
authors.initials: L
authors.lastname: Portinale
authors.forename: L
authors.initials: L
authors.lastname: Gierl
mesh_terms: D001185:Artificial Intelligence; D003658:Decision Making, Computer-Assisted; D006801:Humans; D008490:Medical Informatics; D011340:Problem Solving; D012984:Software