Abstract

 Heart disease is one of the common causes of death in Asia. According to the reports in year 2003-2004 more than 15 million people died and among them around 10 million died because of heart disease.There are certain factors which may cause heart disease; some of them are because of change in life style and addictions. We can list some of them as smoking, alcohol consumption, Obesity, blood pressure and diabetes. Medical database store abundant data in the form of images, charts, numbers and graphs.But all these information cannot be directly used as they are. Some knowledge discovery process must be applied to extract the required features. This extracted information can be used in the process of predicting heart diseases.Death rate because of heart diseases can be reduced, if we could prevent occurrence of it. In this paper, an attempt is made to design a system which will help in predicting the heart disease using data mining techniques and the result can be optimized using optimizer algorithm.

Keywords:disease,knowledge discovery process, data mining techniques, optimizer algorithm