Abstract
Mounting amounts of data made traditional data analysis methods impractical. Data mining (DM) tools provide a useful for alternative framework that addresses this problem. This study follows a DM technique to identify diabetic patients. We develop a model that clusters diabetes patients of a large healthcare company into different subpopulation. Consequently, we show the value of applying a DM model to identify diabetic patients.
Recommended Citation
Green, Barbara and Duchamp, Alice, "A Data Mining Approach To identify Diabetes" (2009). MCIS 2009 Proceedings. 36.
https://aisel.aisnet.org/mcis2009/36
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