PREDICTION OF CARDIOLOGY DISORDER PREDICTION USING MACHINE LEARNING TECHNIQUES

Author (s) : R.SARALADEVI

---

Abstract :
Heart diseases are the most widely recognized reason for death worldwide. Initial identification of heart sickness and consistent supervision of specialists can diminish the mortality ratio. Now a day we use Machine Learning method to predict the cardiology disorder. This paper is proposed a comparative study to predict the Cardiology Disorder Prediction (CDP) and to select the best machine learning method. The aim is to predict heart disease accurately by using different supervised learning like Support Vector machine, Random Forest and Logistic regression on a comparison basis. The results shown that the Support Vector Machine (SVM) is the maximum classification accuracy, Logistic Regression is next better than the Random Forest.

Keywords : Support Vector Machine, Machine Learning, Cardiology Disorder Prediction, Supervised Learning.

Conference Date : 30/08/2019

Pages : 148

Paper ID : 19146