Heart Disease Prediction using Data Mining Techniques

Abstract

Prediction of Heart Diseases is the most complicated task in Medical Science. Thus there is a need for
development, a support system that will help medical practitioners to detect heart disease ofa patient. Heart disease is
something that cannot be detectedby physical observation, but by analyzing different constraints that is associated with
this disease. It has been seen that, this disease comes instantly when its limitations are reached. To avoid such incidents,
a well planned diagnosis is required. The diagnosis depends on the careful analysis of different clinical and pathological
data of the patient by medical experts, which is a complicated process. We propose efficient algorithm hybrid with ANN
(Artificial Neural Network) and K-mean technique approach for heart disease prediction. The main objective of our
model is to develop a prototype which can determine and extract known knowledge related with heart disease from the
past heart disease database record. It can be used to solve queries for detecting heart diseases and help doctors to make
smart clinical decisions.