Prediction model of heart diseases based on hybrid model

Abstract

Heart diseases are crucial cause of global death. Premature detection of heart diseases and uninterrupted analysis decreases the death rate. The detection of heart diseases using various machine learning algorithm is implemented for analysis of the heart attack in minimum time. Machine learning plays a very important role in the prevention of diseases and huge comprehension a health record. Recent trend in machine learning methodology being wield in contemporary evolution in different sector of internet of things. There is different algorithm in machine learning, which is analysis of heart diseases along with different accuracy. The purpose of this research to develop machine learning model to detect the heart diseases. In this a hybrid algorithm is proposed using combination of KNN and logistic regression algorithm. Furthermore, a protype is developed which consist of set of sensors to monitor the timely for prediction or analysis of heart attack.