Journal of Computer Science

Empirical Study on Applications of Data Mining Techniques in Healthcare

Harleen Kaur and Siri Krishan Wasan

DOI : 10.3844/jcssp.2006.194.200

Journal of Computer Science

Volume 2, Issue 2

Pages 194-200

Abstract

The healthcare environment is generally perceived as being ‘information rich’ yet ‘knowledge poor’. There is a wealth of data available within the healthcare systems. However, there is a lack of effective analysis tools to discover hidden relationships and trends in data. Knowledge discovery and data mining have found numerous applications in business and scientific domain. Valuable knowledge can be discovered from application of data mining techniques in healthcare system. In this study, we briefly examine the potential use of classification based data mining techniques such as Rule based, decision tree and Artificial Neural Network to massive volume of healthcare data. In particular we consider a case study using classification techniques on a medical data set of diabetic patients.

Copyright

© 2006 Harleen Kaur and Siri Krishan Wasan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.