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Modeling Reuse on Case-Based Reasoning with Application to Breast Cancer Diagnosis

  • Carles Pous
  • Pablo Gay
  • Albert Pla
  • Joan Brunet
  • Judit Sanz
  • Teresa Ramon y Cajal
  • Beatriz López
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5253)

Abstract

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.

Keywords

Breast Cancer Diagnosis Adaptation Method Retrieval Phase Modeling Reuse Memory Case 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Carles Pous
    • 1
  • Pablo Gay
    • 1
  • Albert Pla
    • 1
  • Joan Brunet
    • 2
  • Judit Sanz
    • 3
    • 4
  • Teresa Ramon y Cajal
    • 3
  • Beatriz López
    • 1
  1. 1.Universitat de GironaGirona 
  2. 2.Institut Català d’OncologiaGirona
  3. 3.Hospital de la Santa Creu i Sant Pau 
  4. 4.Hospital Universitari Sant Joan de Reus 

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