Breast cancer prediction techniques : A review

Breast cancer prediction techniques : A review

Authors

  • Ms. Shelly Shiju George ktu
  • Anjaly Nelson
  • Bony M Sunny
  • Jibymol Joseph

Keywords:

Big Data, Breast cancer, Prediction, K-NN algorithm, Eucledian distance

Abstract

Breast cancer is the second leading
cause of cancer death among women. The
mortality rate due to cancer can be reduced if it
can be detected at a relatively early stage. Big
data analytics is the process of collecting and
organizing large sets of data and analyzing it to
find useful information. This paper reviews
different algorithms for predicting breast
cancer. The review focuses on the various
algorithms and datasets used in the prediction

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Published

2019-05-20

How to Cite

Ms. Shelly Shiju George, Anjaly Nelson, Bony M Sunny, & Jibymol Joseph. (2019). Breast cancer prediction techniques : A review. National Conference on Emerging Computer Applications, 1(1). Retrieved from https://ajcejournal.in/nceca/article/view/16

Issue

Vol. 1 No. 1 (2019): NCECA 2019