Analysis and Forecast of Heart Syndrome by Intelligent Retrieval Approach

Abstract

At present scenarios in the world, heart disease analysis and prediction are two demanding factors to be faced by the doctors that are very ridiculous, and in this regard, health industries will generate enormous amount of data. To reduce huge range of deaths from diseases like heart disease, cancer, tumour and Alzheimer’s disease, doctors must find the rapid and effectual analysis and detection techniques to be used, where various algorithms are used to learning the machines and create very important responsibilities in study and prediction of various diseases in humans. The key intension of this article is characterized on forecasting and analysis of various heart-related syndromes in patients with wide range of age by means of machine learning algorithms and techniques. In this case study, many parameters are considered to do analysis and predict heart disease of patients, where KNN, logistic regression and decision tree algorithm are used to calculate accuracy and performance.