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.
Porter, Thomas and Green, Barbara, "Identifying Diabetic Patients: A Data Mining Approach" (2009). AMCIS 2009 Proceedings. Paper 500.