Heart Disease Prediction Using Ensemble Stacking Technique

Abstract

Heart disease is one of the critical reasons behind the majority of the human loss.Heart failure has proven as the major health issue in both men and women.This causes human life very dreadful.Diagnosing heart issues in advance is a tedious task as it requires enormous amount of clinical tests.Data mining techniques like machine learning and deep learning have proven to be fruitful in making decisions and diagnose various diseases in advance.In this paper,various machine learning techniques have been used along with stacking ensemble method that focus to improve the prediction of heart failure.The accuracy of diagnosis is very important in the case of heart disease.Due to the inadequacy of prediction and diagnosis, traditional approaches fail to discover various heart failures. Health care organizations collect heart data sets which can be used to apply machine learning models for prognosis.