Diagnosis Heart Disease using an Association Rule Discovery Approach

J. Nahar, K.S. Tickle, S. Ali, and Y.-P.P. Chen (Australia)


Heart Disease, Classification, Association Rule Mining.


Around the world heart disease is the number one killer of humans. The most common cause of heart disease is narrowing or blockage of the coronary arteries, the blood vessels that supply blood to the heart itself. Heart problems occur as a result of genetic heredity or daily life style factors. This research involves an investigation of association rules predicting healthy and sick heart status using heart disease data. This research is significant in that useful rules are identified that enable the prediction of healthy/unhealthy heart status from real life factors.

Important Links:

Go Back