Machine Learning-Based Heart Patient Scanning, Visualization, and Monitoring

Abstract

Heart diseases leading most causes of death globally according to World Health Organization cardiovascular or all heart related disease are responsible for 17.9 million death every year. An early detection and diagnosis of the disease is very important and maybe it's the key of cure. The major challenge is to predict the disease in early stages therefor most of scientists and researches focus on Machine learning techniques which have the capability of detection with accurate result for large and complex data and apply those techniques to help in health care. The purpose of this work is to detect heart diseases at early stage and avoid consequences by implementing different Machine Learning Algorithm for example, KNN Decision Tree (DT), Logistic Regression, SVM, Random Forest (RF), and Naïve Bayes (NB).