Developing an Effective Method to detect Breast Cancer using a Combination of Techniques in Data Mining, SVM and Reduction Features

سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 407

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شناسه ملی سند علمی:

TECCONF04_054

تاریخ نمایه سازی: 30 شهریور 1398

چکیده مقاله:

Breast cancer is the most common gynecological disease that damages personal, family and social widely used. Recognizing the signs and take necessary measures for early detection and timely treatment can have a role in preventing the complications of this disease, Although each member of the human body may be cancer, but breast cancer more than other types of cancer cause of death of women s involvement. As technology advances, new features and characteristics collected for the disease, which increases the number and size of the medical database. Therefore, using data mining techniques for processing these features, it is integral. Different people from different data mining techniques are used to diagnose this disease, But still have not reached the desired result, in most of these methods focus on the implementation of various algorithms on a set of data and compare the performance of these algorithms have been together, and to incorporate algorithms have been studied less. In this study is to select and combine two features useful in diagnosis algorithm SVM, K-Means, which so far have not been combined, Raise the detection accuracy than previous work and benign and malignant breast tumors to predict in the early stages of disease.

نویسندگان

elham abbaszade

Department of Computer, Faculty of Engineering, Islamic Azad University, Damavand Branch,Damavand, Iran

Javad Hosseinkhani

Department of Computer Engineering/ Islamic Azad University, Zahedan Branch, Iran