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A Fuzzy-Genetic Algorithm Method for the Breast Cancer Diagnosis Problem

Authors:
Abir Alharbi
Fairouz Tchier

Keywords: Breast cancer diagnosis problem; Fuzzy systems; Genetic algorithms; Rule-based system; Computer-aided diagnosis.

Abstract:
The computer-aided medical diagnosis of complex systems, such as breast cancer is an important medical problem. In this paper, we focus on combining two major methodologies, namely, the fuzzy-based systems and the evolutionary genetic algorithms to find a computer aided diagnosis system that will aid physicians in an early diagnosis of breast cancer in Saudi Arabia. Our results show that the fuzzy-genetics approach produces systems that attain high classification performance, with simple and well interpretive rules and a good degree of confidence.

Pages: 122 to 127

Copyright: Copyright (c) IARIA, 2015

Publication date: July 19, 2015

Published in: conference

ISSN: 2308-4499

ISBN: 978-1-61208-419-0

Location: Nice,France

Dates: from July 19, 2015 to July 24, 2015