TY  - JOUR
AU  - Kaur, Harleen 
AU  - Wasan, Siri Krishan 
PY  - 2006
TI  - Empirical Study on Applications of Data Mining Techniques in Healthcare
JF  - Journal of Computer Science
VL  - 2
IS  - 2
DO  - 10.3844/jcssp.2006.194.200
UR  - https://thescipub.com/abstract/jcssp.2006.194.200
AB  - 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.