Possibility of Use a Fuzzy Loss Function in Medical Diagnostics

Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 47)


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.


Ankylose Spondylitis Loss Function Fuzzy Number Medical Diagnostics Interior Node 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  1. 1.Chair of Systems and Computer NetworksWroclaw University of TechnologyWroclawPoland

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