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1. Introduction Case-based Reasoning for Medical Knowledge-based Systems.pdf
Case-based Reasoning for Medical
Knowledge-based Systems
Rainer Schmidt, Lothar Gierl
Institute for Medical Informatics and Biometry, University of Rostock
Rembrandtstr. 16 / 17, D-18055 Rostock, Germany
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.
1. Introduction
Case-based Reasoning (CBR) has become a successful technique for knowledge-based
systems in many domains, while in medical domains some more problems arise to use this
method. We are going to discuss the appropriateness of CBR for medical knowledge-based
systems, point out problems, limitations and possibilities how they can partly be overcome.
Case-based Reasoning means to use previous experience in form of cases to understand
and solve new problems. A case-based reasoner remembers former cases similar to the
current problem and attempts to modify their solutions to fit for the current case (Fig.1.
shows the Case-based Reasoning cycle developed by Aamodt [1]). The underlying idea is
the assumption that s
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