Using Machine Learning for Heart Disease Prediction

Using Machine Learning for Heart Disease Prediction

Siddhant Dhatrak1, Vinayak Dhole2, and Ruturaj Kalmegh3

Abstract. Research has been carried out on Heart Disease with the help of machine learning algorithms . Prediction of heart disease is a very recent field as the data is becoming available. Other researchers have used various prediction techniques as there are many ways for predicting models . We used data analytics to detect and predict disease’s patients .We initiated the model with the dataset available ,where we selected the most relevant features by the correlation matrix, then we applied three data analytics techniques (Logistic Regression Decision Tree and Random Forest) on data sets of different sizes, in order to study the accuracy and stability of each of them. Found Logistic regression is easier to configure and obtain much good results (accuracy of 91.8%).

Keywords: Machine Learning · Heart Disease · prediction · detection.