Cancer detection from textual data using a combination of machine learning approach
- سال انتشار: 1403
- محل انتشار: مجله ایرانی مطالعات مدیریت، دوره: 17، شماره: 3
- کد COI اختصاصی: JR_JIJMS-17-3_020
- زبان مقاله: انگلیسی
- تعداد مشاهده: 208
نویسندگان
Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
Department of Information Technology Management, Tehran North Branch, Islamic Azad University, Tehran, Iran
Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Department of Industrial Management, Tehran South Branch, Islamic Azad University, Tehran, Iran
چکیده
Recently, cancer has become one of the main diseases and causes of death of people all over the world. For this purpose, extensive research has been done on the prediction and early detection of this disease in the body of patients in different fields. Artificial intelligence and data mining approaches are among the methods that have helped researchers in diagnosing this disease. In this research, a machine learning approach for early and timely diagnosis of cancer disease is presented. For this purpose, it uses logistic regression techniques, Naive Bayes, two versions of Random Forest and Support Vector Machine, which work in parallel with each other. As a result of the integration of the techniques, the proposed system achieves higher accuracy and reduces errors compared to the basic methods. The performance of the proposed method was evaluated using different criteria and showed superior results compared to traditional methods.کلیدواژه ها
Logistic regression, Naive Bayes, Random forest, Support vector machine, Cancer Detectionاطلاعات 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.