文章基本信息

标题：GA-based Feature Selection with ANFIS Approach to Breast Cancer Recurrence
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作者：Hamza Turabieh
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2016
卷号：13
期号：1
出版社：IJCSI Press
摘要：Automatic disease diagnosis systems are important for medical fields. These systems have been used to help doctors to make better diagnosis. Breast cancer is a very common class of cancers among women. In this paper, we focus on breast cancer recurrence problem, hybridizing two methodologies, Genetic Algorithm (GA) and Adaptive Neuro Fuzzy Inference System (ANFIS), to develop a good diagnosis system. GA has been used as a selection algorithm to find the best features, whilst ANFIS has been used as a classifier algorithm. The robustness of the proposed hybrid methodology is examined using classification accuracy, sensitivity, and specificity. The proposed hybrid algorithm has achieved accuracy of 88% for training dataset and 71% for testing. The results demonstrate the effective interpretation and point out the ability to design a good diagnosis system
关键词：Breast cancer; Feature Selection; Genetic Algorithm; ANFIS