A SURVEY ON VARIOUS MACHINE LEARNING APPROACHES USED FOR BREAST CANCER DETECTION

Neha Kumari, Khushboo Verma

Abstract


Now a day’s cancer is one of the main decreases in all over the world. Several peoples have died in a day. According to the survey conducted by the US government, 40000 people died in 2012 only due to breast cancer. Cancer decease is classified into four types named type 1, type 2, type 3 and type 4. A previous survey that if cancer is detected in the early stage (i.e., type 1 and type 2) then only it can be procuring. But most of the time cancer is detected in the third and fourth stage. Due to this reason cancer detection in the early stage is one of the favorite areas of the researcher. In the past few decades, several machine learning approach has been used by various researchers. Cancer detection is a classification approach where the main aim is to find the cancer stage in the early stage. There are several classification approaches that can be used in cancer detection. This paper discusses the comparative analysis of some of the existing cancer detection approaches.


Keywords


machine, learning, breast, cancer, treatment

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DOI: https://doi.org/10.26483/ijarcs.v10i3.6438

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