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Breast Cancer Prediction System using Classification Algorithms

Author(s):

Sarthak Vinayaka , Jaypee University of Information Technology

Keywords:

K-Nearest Neighbors, Machine Learning, Accuracy

Abstract

Breast cancer is the most common cancer in women worldwide, with nearly 1.7 million new cases diagnosed in 2012.It can be classified as Benign or Malignant. Classification and data mining methods are an effective way to classify data. Especially in medical field, where those methods are widely used in diagnosis and analysis to make decisions. In this paper we predict breast cancer with high accuracy by applying machine learning algorithm like K- Nearest neighbors on the Wisconsin Breast Cancer Database .In other word, we can anticipate the future for women diseases.

Other Details

Paper ID: IJSRDV7I70043
Published in: Volume : 7, Issue : 7
Publication Date: 01/10/2019
Page(s): 109-110

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