Early detection of coronary heart disease by using naive bayes algorithm

Abstract

In smart connected communities, Health monitoring devices are vital parts of smart health. The main goal of this project is to detect the mild abnormalities of the coronary heart disease in the initial stage by providing quality health care using Naive Bayes classifier. The Coronary heart disease is diagnosed by taking into consideration the parameters like age, gender, nature of chest pain, latent blood pressure, serum cholesterol level, fasting blood sugar level, resting ECG, maximum heart rate, exercise induced angina, ST depression induced, peak exercise ST, number of major vessels and thalassemia. These parameters are used in the classifier to examine whether the Coronary heart disease is present or absent along with its accurateness.