Medical diagnosis support system based on the ensemble of single-parameter classifiers

• Autorzy: Orczyk T. , Porwik P. , Bernaś M.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a medical diagnosis support system based on an ensemble of single parameter k–NN classifiers [1]. System was verified on a database containing real blood test results of diagnosed patients with a liver fibrosis. This dataset contains problems typical to a real medical data – especially missing values. Paper also describes the process of selecting a subset of parameters used for further evaluation (feature selection/elimination algorithm). Complete database contains many parameters, but not all are important for diagnosis, thus eliminating them is an important step. A comparison of proposed method of classification and feature selection with methods known from literature has also been presented.

Słowa kluczowe

EN

classifier ensembles; combination rule; decision support system

PL

zespoły klasyfikatora; zasada kombinacji; system wspomagania decyzji

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2014
• Tom: Vol. 23
• Strony: 173--179
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Orczyk T.

• University of Silesia, Institute of Computer Science, 41-200 Sosnowiec, Będzińska 39, Poland

autor

Porwik P.

• University of Silesia, Institute of Computer Science, 41-200 Sosnowiec, Będzińska 39, Poland

autor

Bernaś M.

• University of Silesia, Institute of Computer Science, 41-200 Sosnowiec, Będzińska 39, Poland

Bibliografia

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