Multiple disorders are a daily problem in medical diagnosis and treatment, but most expert systems make an implicit assumption that only single disorder occurs in a single patient. We show the need for performing multiple disorder diagnosing, then inspired by the common idea of combining CBR with Rule-based Reasoning, we present a hybrid approach for diagnosing multiple faults. We applied our hybrid reasoning approach to two medical casebases taken from real world applications demonstrating the promise of the approach. The method could also be applied to other multiple fault domains, e.g. car failure diagnosis. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Shi, W., & Barnden, J. A. (2005). How to combine CBR and RBR for diagnosing multiple medical disorder cases. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3620, pp. 477–491). Springer Verlag. https://doi.org/10.1007/11536406_37
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