Analysis of myocardial infarction risk factors in heart disease data set

A major type of heart disease identified all over the world is Myocardial Infarction (MI),commonly called as heart attack. Sudden blockage in a coronary artery by a blood clot due to damage or death of heart muscle is called Myocardial Infarction (MI). Many researches have attempted to detect MI from identified risk factors using intelligent and data mining algorithms.The commonly used data set for MI detection is Cleveland data set. The purpose of the present study is to investigate the risk factors of Cleveland data set and their significant role in MI detection