Data Mining Techniques in E-Health Systems: An Analysis

A. MAHAR, S. RAJPAR

Abstract


Data mining implies a lot of information to extricate valuable information, most imperative and well known data mining techniques are classified, clustering, sequential patterns, regression, association, and prediction. In Health concern organizations, data mining has a vital part, in early forecast of diseases There are numerous approaches to analyze the malady; one of these strategies is Data mining technique. This research to survey and analyze that which Data mining techniques are being used for diagnosis of various diseases to contribute researchers and scholars. The objective of this study is to conduct a systematic analysis of data-mining techniques in the area of e- health systems. This analysis will be helpful to compare robustness of various Data Mining techniques in this area.

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