Abstract: Main objective is to develop a prototype Intelligent Heart Attack Prediction System with help of Big data and data mining modeling techniques, this system can extract and discover hidden knowledge (relationships and pattern) associated with heart disease from historical heart disease database. It can answer complex queries for diagnosing heart disease and thus assist healthcare practitioners to make efficient clinical decisions which traditional decision support systems canít do. The healthcare industry collects large amount of big data which are not mined. Using advanced data mining techniques remedies can be provided. Medical diagnosis is regarded as an important but complicated task that needs to be executed accurately and efficiently. By providing effective treatments, it also helps to reduce treatment costs. The automation of this system would be extremely helpful. Therefore, a heart attack prediction system would probably be more beneficial for medical diagnosis system

Keywords: Big data, Data mining, Hadoop, Healthcare, Knowledge-discovery, Risk prediction.