Analysis of Clinical Databases Using Data Mining Techniques

Main Article Content

L. Jagjeevan Rao
N. V. S. Pavan Kumar, M.Srinivas


Recent advances in high throughput data acquisition, digital storage, and communications technologies have made it possible to gather very large amounts of data in many scientific and commercial domains. Much of this data resides in relational databases. Over the last decade, we have seen the emergence of Data mining techniques that cater to the analysis of these databases. These techniques are typically upgraded from well-known and accepted. Clinical databases have accumulated large quantities of information about patients and their medical diagnosis reports which describe their condition. Relationships and patterns within this data could provide new medical knowledge. Many methodologies have been developed and applied to discover this hidden knowledge. In this study, the techniques of data mining were used to search for relationships and multi dimensions in a large medical database

Key words – Classification, Association Rules, Clustering, K-means, Hyperilimedia


Download data is not yet available.

Article Details