BUILDING AN EFFICIENT HEART DISEASE PREDICTION SYSTEM USING CLUSTERING TECHNIQUE

Abstract: Life relies on competent functioning of heart, because heart is critical a part of our body. If function of heart isn't suitable, it'll affect the opposite body parts of human like brain, kidney etc. Heart condition could be a disease that effects on the function of heart. There are number of things which increases risk of cardiovascular disease. At this days, within the world cardiopathy is that the main reason behind deaths. the planet Health Organization (WHO) has expected that 12 million deaths occur worldwide, each year because of the guts diseases. Prediction by using data processing techniques gives us accurate results of disease. IHDPS (intelligent cardiopathy prediction system) can discover and extract hidden knowledge related with heart condition from a historical cardiopathy database. some types of heart condition are cardiovascular diseases, heart failure, coronary cardiovascular disease and Stroke. Stroke may be a sort of heart disease; it's caused by narrowing, blocking, or hardening of the blood vessels that attend the brain or by high force per unit area.