In the recent years, there has been an increasing interest on the use of case-based reasoning (CBR) in Medicine. CBR is characterized by four phases: retrieve, reuse, revise and retain. The first and last phases have received a lot of attention by the researchers, while the reuse phase is still in its infancy. The reuse phase involves a multi-facet problem which includes dealing with the closeness to the decision threshold used to determine similar cases, among other issues. In this paper, we propose a new reuse method whose decision variable is based on the similarity ratio. We have applied the method and tested in a breast cancer diagnosis database. © Springer-Verlag Berlin Heidelberg 2008.
CITATION STYLE
Pous, C., Gay, P., Pla, A., Brunet, J., Sanz, J., Cajal, T. R. Y., & López, B. (2008). Modeling reuse on case-based reasoning with application to breast cancer diagnosis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5253 LNAI, pp. 322–332). https://doi.org/10.1007/978-3-540-85776-1_27
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