Development of a fuzzy-driven system for ovarian tumor diagnosis

• Autorzy: Żywica P. , Dyczkowski K. , Wójtowicz A. , Stachowiak A. , Szubert S. , Moszyński R.

Identyfikatory

DOI

10.1016/j.bbe.2016.08.003

• 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 a unique feature of the developed system. The main advantage of OvaExpert is its modular architecture which allows seamless extension of system capabilities. Three diagnostic modules are described, along with examples. The first module is based on aggregation of existing prognostic models for ovarian tumor. The second presents the novel concept of an Interval-Valued Fuzzy Classifier which is able to operate under data incompleteness and uncertainty. The third approach draws from cardinality theory of fuzzy sets and IVFSs and leads to a bipolar result that supports or rejects certain diagnoses.

Słowa kluczowe

EN

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

PL

wspieranie diagnostyki medycznej; guz jajnika; przetwarzanie miękkie; dane niedokładne; dane niepełne

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2016
• Tom: Vol. 36, no. 4
• Strony: 632--643
• Opis fizyczny: Bibliogr. 28 poz., rys., tab., wykr.

Twórcy

autor

Żywica P.

• Department of Imprecise Information Processing Methods, Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Umultowska 87, 61-614 Poznań, Poland

autor

Dyczkowski K.

• Department of Imprecise Information Processing Methods, Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Umultowska 87, 61-614 Poznań, Poland

autor

Wójtowicz A.

• Department of Imprecise Information Processing Methods, Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Umultowska 87, 61-614 Poznań, Poland

autor

Stachowiak A.

• Department of Imprecise Information Processing Methods, Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Umultowska 87, 61-614 Poznań, Poland

autor

Szubert S.

• Division of Gynecological Surgery, Poznan University of Medical Sciences, Polna 33, 60-535 Poznań, Poland

autor

Moszyński R.

• Division of Gynecological Surgery, Poznan University of Medical Sciences, Polna 33, 60-535 Poznań, Poland

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.