Breast Cancer Risk Assessment Using adaptive neuro-fuzzy inference system (ANFIS) and Subtractive Clustering Algorithm
- سال انتشار: 1396
- محل انتشار: مجله تحقیقات سرطان، دوره: 1، شماره: 2
- کد COI اختصاصی: JR_MCIJO-1-2_004
- زبان مقاله: انگلیسی
- تعداد مشاهده: 93
نویسندگان
Informatics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR , Tehran, Iran
Informatics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR , Tehran, Iran
Informatics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR , Tehran, Iran
Informatics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR , Tehran, Iran
Informatics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR , Tehran, Iran
چکیده
Introduction: The adaptive neuro-fuzzy inference system (ANFIS) is a soft computing model based on neural network precision and fuzzy decision-making advantages, which can highly facilitate diagnostic modeling. In this study we used this model in breast cancer detection. Methodology: A set of ۱,۵۰۸ records on cancerous and non-cancerous participant’s risk factors was used. First, the risk factors were classified into three priorities according to their importance level, were fuzzified and the subtractive clustering method was employed for inputting them with the same order. Randomly, the dataset was divided into two groups of ۷۰ and ۳۰ percent of the total records, and used for training and testing the new model respectively. After the training, the system was separately tested with the Wisconsin and real Clinic's data, and the results were reported. Result: The desired fuzzy functions were defined for the variables, and the model was trained with the combined dataset. The testing was then conducted first with ۳۰ percent of that dataset, then with the real data obtained from a real Clinic (BCRC) data, while the model's precision for the above stages was ۸۱(sensivity=۸۵.۱%, specifity=۷۴.۵%) and ۸۴.۵ percent (sensivity=۸۹.۳%, specifity=۷۹.۹%) respectively. Conclusion: A final ANFIS model was developed and tested for two standard and real datasets on breast cancer. The resulting model could be employed with high precision for the BCRC Clinic's database, as well as conducting similar studies and re-evaluating other databases.کلیدواژه ها
Breast cancer, Decision Support Techniques, Cancer.اطلاعات 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.