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Possibility of Use a Fuzzy Loss Function in Medical Diagnostics

  • Robert Burduk
Part of the Advances in Soft Computing book series (AINSC, volume 47)

Summary

An application of a two-stage classifier to the prognosis of sacroileitis is presented in the paper. The method of classification is based on a decision tree scheme. A k-nearest neighbors is applied in pattern recognition task. In this model of classification a fuzzy loss function is used. The efficiency of this algorithm is compared with the algorithm based on zero-one loss function. In this paper also influence of choice of parameter λ in selected comparison fuzzy number method on classification results are presented.

Keywords

Ankylose Spondylitis Loss Function Fuzzy Number Medical Diagnostics Interior Node 
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

  • Robert Burduk
    • 1
  1. 1.Chair of Systems and Computer NetworksWroclaw University of TechnologyWroclawPoland

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