Designing breast cancer diagnostic systems via a hybrid fuzzy-genetic methodology

Carlos Andres Pena-Reyes, Moshe Sipper

Research output: Contribution to conferencePaperpeer-review

32 Scopus citations

Abstract

The automatic diagnosis of breast cancer is an important, real-world medical problem. In this paper we focus on the Wisconsin breast cancer diagnosis (WBCD) problem, combining two methodologies - fuzzy systems and evolutionary algorithms - so as to automatically produce diagnostic systems. We find that our fuzzy-genetic approach produces systems exhibiting the highest classification performance shown to date, and which are also (human-)interpretable.

Original languageEnglish
PagesI-135 - I-139
StatePublished - 1 Dec 1999
Externally publishedYes
EventProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99 - Seoul, South Korea
Duration: 22 Aug 199925 Aug 1999

Conference

ConferenceProceedings of the 1999 IEEE International Fuzzy Systems Conference, FUZZ-IEEE'99
CitySeoul, South Korea
Period22/08/9925/08/99

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