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.
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Burduk, R. (2008). Possibility of Use a Fuzzy Loss Function in Medical Diagnostics. In: Pietka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Soft Computing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68168-7_53
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DOI: https://doi.org/10.1007/978-3-540-68168-7_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68167-0
Online ISBN: 978-3-540-68168-7
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