The research undertook an experiment on application of
various data mining algorithms to predict the heart attacks
and to compare the best method of prediction. The research
results do not presents a dramatic difference in the
prediction when using different classification algorithms in
data mining. The experiment can serve as an important tool
for physicians to predict risky cases in the practice and
advise accordingly. The model from the classification will
be able to answer more complex queries in the prediction of
heart attack diseases. The predictive accuracy determined by
J48, REPTREE and SIMPLE CART algorithms suggests
that parameters used are reliable indicators to predict the
presence of heart diseases.