Identifying Diabetic Patients: A Data Mining Approach

نویسندگان

  • Thomas Porter
  • Barbara Green
چکیده

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.

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تاریخ انتشار 2009