Clustering Based Classification Technique to Discover Knowledge from Health Care Databases

This paper proposes to apply a clustering based classification technique for the task of discovering Knowledge from health care databases. The healthcare environment is generally perceived as being ‘rich in information’ yet having ‘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 Health Care, Business and Scientific Domain. Valuable knowledge can be discovered from application of data mining techniques in healthcare system. In this paper, we briefly examine the potential use of cluster analysis of large volume of healthcare data. One of the original aims of cluster analysis was to group the data into classes or clusters so that objects within a cluster have high similarity in comparison to one another, but are very dissimilar to objects in other clusters.