The pair-wise linear classifier and the k-NN rule in application to ALS progression differentiation

• Autorzy: Sokołowska B. , Jóźwik A. , Niebroj-Dobosz I. , Janik P.
• Języki publikacji: EN

Abstrakty

EN

The two kinds of classifier based on the k-NN rule, the standard and the parallel version, were used for recognition of severity of ALS disease. In case of the second classifier version, feature selection was done separately for each pair of classes. The error rate, estimated by the leave one out method, was used as a criterion as for determination the optimum values of k's as well as for feature selection. All features selected in this manner were used in the standard and in the parallel classifier based on k-NN rule. Furthermore, only for the verification purpose, the linear classifier was applied. For this kind of classifier the error rates were calculated by use the training set also as a testing one. The linear classifier was trained by the error correction algorithm with a modified stop condition. The data set concerned with the healthy subjects and patients with amyotrophic lateral sclerosis (ALS). The set of several biomarkers such as erythropoietin, matrix metalloproteinases and their tissue inhibitors measured in serum and cerebrospinal fluid (CSF) were treated as features. It was shown that CSF biomarkers were very sensitive for the ALS progress.

Słowa kluczowe

EN

pattern recognition; feature selection; linear classifier; k-NN rule; pair-wise classifier; biomarkers; amyotrophic lateral sclerosis

PL

rozpoznawanie wzorców; wybór funkcji; klasyfikator liniowy; zasada k-NN; biomarkery; stwardnienie zanikowe boczne

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2012
• Tom: Vol. 20
• Strony: 79--83
• Opis fizyczny: Bibliogr. 12 poz., tab.

Twórcy

autor

Sokołowska B.

• Bioinformatics Laboratory, Mossakowski Medical Research Center, Polish Academy of Sciences, 02-106 Warszawa, Pawińskiego 5

autor

Jóźwik A.

autor

Niebroj-Dobosz I.

autor

Janik P.

Bibliografia

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