Applying Rough Set Theory to Multi Stage Medical Diagnosing

• Autorzy: Wakulicz-Deja A. , Paszek P.
• Języki publikacji: EN

Abstrakty

EN

The work contains an example of application of Rough Set Theory to decision making - diagnosing Mitochondrial Encephalomyopathies (MEM) for children. The resulting decision support system maximally limits the indications for invasive diagnostic methods (puncture, muscle and/or nerve specimens). Moreover, it shortens the time necessary for making diagnosis. The system has been developed on the basis of data obtained from the II Clinic Department of Pediatrics of the Silesian Academy of Medicine (further referred to as the Clinic of Pediatrics).

Słowa kluczowe

EN

machine learning; mitochondrial encephalomyopathies; rough sets

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2003
• Tom: Vol. 54, nr 4
• Strony: 387--408
• Opis fizyczny: tab., bibliogr. 32 poz.

Twórcy

autor

Wakulicz-Deja A.

autor

Paszek P.

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

Bibliografia

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