Feature selection using genetic algorithm for breast cancer diagnosis: experiment on three different datasets
- سال انتشار: 1395
- محل انتشار: مجله علوم پایه پزشکی ایران، دوره: 19، شماره: 5
- کد COI اختصاصی: JR_IJBMS-19-5_003
- زبان مقاله: انگلیسی
- تعداد مشاهده: 365
نویسندگان
Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
Department of Electrical Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran
Robotics Laboratory, Department of Electrical Engineering, University of Neyshabur, Neyshabur, Iran
Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
چکیده
Objective(s): This study addresses feature selection for breast cancer diagnosis. The present process uses a wrapper approach using GA-based on feature selection and PS-classifier. The results of experiment show that the proposed model is comparable to the other models on Wisconsin breast cancer datasets. Materials and Methods: To evaluate effectiveness of proposed feature selection method, we employed three different classifiers artificial neural network (ANN) and PS-classifier and genetic algorithm based classifier (GA-classifier) on Wisconsin breast cancer datasets include Wisconsin breast cancer dataset (WBC), Wisconsin diagnosis breast cancer (WDBC), and Wisconsin prognosis breast cancer (WPBC). Results: For WBC dataset, it is observed that feature selection improved the accuracy of all classifiers expect of ANN and the best accuracy with feature selection achieved by PS-classifier. For WDBC and WPBC, results show feature selection improved accuracy of all three classifiers and the best accuracy with feature selection achieved by ANN. Also specificity and sensitivity improved after feature selection. Conclusion: The results show that feature selection can improve accuracy, specificity and sensitivity of classifiers. Result of this study is comparable with the other studies on Wisconsin breast cancer datasets.کلیدواژه ها
Breast Cancer, Classification feature, Selection data miningاطلاعات بیشتر در مورد COI
COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.
کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.