Abstract
Case retrieval is a complex and important stage of the overall CBR process, involving situation assessment and a flexible combination of case memory search and matching. The goal of the paper is to discuss a retrieval approach in a case library organized through classes of prototypes. Situation assessment is realized with a Bayesian classification step, aimed at defining a uniform framework for feature evaluation and at restricting search only to relevant parts of the case library. Classical K-NN methods or pruning based technique like Pivoting-Based Retrieval can then be applied to retrieve and match cases, by considering intra-class or inter-class retrieval. The proposed method has been evaluated within a decision support system for the therapy revision of patients affected by Diabetes Mellitus.
This work is part of the EU project T-IDDM (HC 1047): Telematic Management of Insulin Dependent Diabetes Mellitus
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© 1998 Springer-Verlag Berlin Heidelberg
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Bellazzi, R., Montani, S., Portinale, L. (1998). Retrieval in a prototype-based case library: A case study in diabetes therapy revision. In: Smyth, B., Cunningham, P. (eds) Advances in Case-Based Reasoning. EWCBR 1998. Lecture Notes in Computer Science, vol 1488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056322
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DOI: https://doi.org/10.1007/BFb0056322
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