TY - JFULL AU - Murat Koklu and Yavuz Unal PY - 2013/9/ TI - Analysis of a Population of Diabetic Patients Databases with Classifiers T2 - International Journal of Biomedical and Biological Engineering SP - 480 EP - 483 VL - 7 SN - 1307-6892 UR - https://publications.waset.org/pdf/16219 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 80, 2013 N2 - Data mining can be called as a technique to extract information from data. It is the process of obtaining hidden information and then turning it into qualified knowledge by statistical and artificial intelligence technique. One of its application areas is medical area to form decision support systems for diagnosis just by inventing meaningful information from given medical data. In this study a decision support system for diagnosis of illness that make use of data mining and three different artificial intelligence classifier algorithms namely Multilayer Perceptron, Naive Bayes Classifier and J.48. Pima Indian dataset of UCI Machine Learning Repository was used. This dataset includes urinary and blood test results of 768 patients. These test results consist of 8 different feature vectors. Obtained classifying results were compared with the previous studies. The suggestions for future studies were presented. ER -