Review on Breast Cancer Prediction through Machine Learning

  • Javed Akhtar Khan

Abstract

This article include the review of Breast cancer disease prediction through Machine learning algorithm . This article is include the introduction part of random forest algorithm that able to provide the some prediction for finding the Breast cancer disease . The objective of this paper  is to use the concept of machine learning to predict the risk of breast cancer in patients by considering various parameters like family history, lumps, genetic factors,  age, gender and various other body fluids like glucose, insulin, HOMA, leptin, adiponectin,   resistin , msp.[1].It classifies the patients into those having the risk of getting breast cancer and those who do not have the risk. The algorithm of Random Tree Classification is used to accomplish this. Through Random forest Algorithm and concept of machine learning human will know that the what will be the prediction rate of breast cancer on before time ,based on this prediction human will take a necessary action. Early diagnosis of breast cancer can improve the chance of survival ,as it enables timely clinical treatment to patients

Published
2019-11-06
Section
Articles