A Survey on Prognostication of Breast Cancer Utilizing Machine Learning Algorithms

Authors

  • Vishali Sivalenka, Anita Bai

Abstract

Cancer is one of the most typical diseases that frightens the people around the world when they heard it. Breast Cancer is the second highest disease that millions of females impacting annually worldwide. Now-a-days health sector been enhancing the Machine learning tools to predict and detect the diseases such as breast cancer. This paper presents the wide range of survey on how machine learning algorithms are beneficial in predicting the breast cancer and provides the comparison among those algorithms in terms of efficiency and accuracy.

Keywords- breast cancer; decision tree; k-nearest neighbor; neural networks; random forest; support vector machine; wisconsin

Published

2020-12-11

Issue

Section

Articles