OvaExpert: an intelligent medical diagnosis support system for ovarian tumor

• Autorzy: Żywica P. , Apolinarski S. , Kubiński B.
• Języki publikacji: EN

Abstrakty

EN

In this paper we present OvaExpert, an intelligent system for ovarian tumor diagnosis. We give an overview of its features and main design assumptions. As a theoretical framework the system uses fuzzy set theory and other soft computing techniques. This makes it possible to handle uncertainty and incompleteness of the data which is an unique feature of developed system. The main advantage of OvaExpert is its modular architecture which allows seamless extension of system capabilities. Two diagnostic modules are described in the paper along with examples. First module is based on aggregation of existing prognostic models for ovarian tumor. Second, on novel concept of Interval– Valued Fuzzy Classifier which is able to operate under data incompleteness and uncertainty.

Słowa kluczowe

EN

supporting medical diagnosis; ovarian tumor; soft computing; imprecise data; incomplete data

PL

wspieranie diagnostyki medycznej; guz jajnika; obliczenia inteligentne; dane niedokładne; dane niepełne

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2015
• Tom: Vol. 24
• Strony: 183--190
• Opis fizyczny: Bibliogr. 22 poz., tab., wykr.

Twórcy

autor

Żywica P.

• Faculty of Mathematics and Computer Science, Adam Mickiewicz University in Poznań, Umultowska 87, 61-614 Poznań, Poland

autor

Apolinarski S.

• Faculty of Mathematics and Computer Science, Adam Mickiewicz University in Poznań, Umultowska 87, 61-614 Poznań, Poland

autor

Kubiński B.

• Faculty of Mathematics and Computer Science, Adam Mickiewicz University in Poznań, Umultowska 87, 61-614 Poznań, Poland

Bibliografia

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