Research Journal of Applied Sciences
ISSN: Online 1993-6079ISSN: Print 1815-932x
Abstract
Data mining techniques have been applied magnificently in many fields including business, science, the web, cheminformatics, bioinformatics and on different types of data such as textual, visual, spatial, real-time and sensor data. Medical data is still information rich but knowledge poor. There is a lack of effective analysis tools to discover the hidden relationships and trends in medical data obtained from clinical records. This study reviews the state of the art research on heart disease diagnosis and prediction.
How to cite this article:
R. Thanigaivel and K. Ramesh Kumar. Data Mining Association Rules for Heart Disease Prediction System.
DOI: https://doi.org/10.36478/rjasci.2015.469.473
URL: https://www.makhillpublications.co/view-article/1815-932x/rjasci.2015.469.473