Published Paper Details:

In human principal part of the body is heart. It is the most important organs in our body. Irregularity in our heart can effect destress in our body. Malfunctioning of our heart is termed as Cardiac disease or heart disease. The major heart diseases are cardiomyopathy (heart Muscle disease, congenital heart disease, Coronary Artery disease (CAD), heart Arrhythmias, heart failure, heart valve disease, Pericardial disease. Heart attack & heart failure are the most common heart diseases. Finding the causes of heart disease is the most important factor to our study. In this paper we have to study the prevention or minimizing the chances of getting heart disease and also we have to study the relationship between gender and heart disease. Heart disease is affected by several factors such as smocking, Cholesterol, diabetes, blood pressure, drug misuse, stress. Excessive use of alcohol and many more. Handling of imbalance data process is great challenge for the researchers to identify the significant factors. Detection of significant variable using classification model will reduce burden of doctors. The main focus of the study is to identify the major factors associated with significant variable & identity the better classification model. The prediction performance of different classification models is compared based on accuracy measure.