Prediction of Heart Disease Using Enhanced Association Rule Based Algorithm

The risk of coronary illness is increasing at a fast pace and it's been scowling at us for a considerable length of time, making us doubt each subtle element of our confounded way of life decisions, eating regimen and level of physical movement. It's been a main executioner in the West and has now forcefully advanced toward India. As indicated by government information, the pervasiveness of heart disappointment in India because of coronary illness, hypertension, corpulence, diabetes and rheumatic coronary illness ranges from anyplace between 1.3 to 4.6 million, with a yearly frequency of 491,600 to 1.8 million. But because of impreciseness of the diagnosis tools less than 68 per cent of heart diagnosis yield correct results. To make the odds go higher, this research presents a novel algorithm whose key idea is germinated from classical association rule mining.