Extrapolation of Heart Diseases and Breast Cancer using Machine Learning Approaches

Abstract

A major portion of the world population does not have access to proper healthcare .Heart diseases and Breast cancer is the one of the most important diseases in our day to day life. These diseases is quiet common now a days , different attributes which can relate to heart diseases and breast cancer well to find the better method to predict these disease by machine learning algorithms. Application of machine learning methods in biosciences and health care is presently, more than ever before, vital and indispensable in efforts to transform intelligently all available information into valuable knowledge. In our proposed method Decision Tree approach and Logistic Regression approach are used for predict the Heart diseases and Breast cancer. In existing method reveals that 90.2% and 77.5% accuracy by using decision tree approach in breast cancer and heart disease datasets. In our proposed method reveal that 95% and 83% accuracy in decision tree approach, and Logistic regression approach reveals that 95.8% and 88.3% respectively in breast cancer and heart disease datasets .Its seems to be that our proposed methods are better than the existing method.