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Defining Characteristics of Diabetic Patients by Using Data Mining Tools

Most organizations have large databases that contain wealth of potentially accessible information. Data mining techniques can be used to discover hidden patterns that are unknown a priori. Data mining is the process of selection, exploration and modelling of large quantities of data. Data mining has worthy applications in finance, communication, education, marketing and health management. In this study health management is chosen as an application area. It is very important to encountered similarities of past period cases and definition of patient profile in the health services quickly and to decide correctly. It is aimed to define specific characteristics of diabetic patients in Turkey by using Cluster Analysis and Association Rules


U. Tugba Simsek Gursoy

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