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A Fuzzy-Genetic Approach to Breast Cancer Diagnosis (1999)
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@MISC{Pena-Reyes99afuzzy-genetic,
author = {Carlos Andres Pena-Reyes and Moshe Sipper},
title = {A Fuzzy-Genetic Approach to Breast Cancer Diagnosis},
year = {1999}
}
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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 two prime characteristics: first, they attain high classification performance (the best shown to date), with the possibility of attributing a confidence measure to the output diagnosis; second, the resulting systems involve a few simple rules, and are therefore (human-) interpretable. 1999 Elsevier Science B.V. All rights reserved. Keywords: Fuzzy systems; Genetic algorithms; Breast cancer diagnosis www.elsevier.com/locate/artmed 1.
Keyphrases
fuzzy-genetic approach breast cancer diagnosis output diagnosis high classification performance breast cancer diagnosis www genetic algorithm prime characteristic confidence measure wisconsin breast cancer diagnosis fuzzy system elsevier science b.v. right automatic diagnosis real-world medical problem com locate simple rule evolutionary algorithm breast cancer diagnostic system
