@article{(Open Science Index):https://publications.waset.org/pdf/16219,
	  title     = {Analysis of a Population of Diabetic Patients Databases with Classifiers},
	  author    = {Murat Koklu and  Yavuz Unal},
	  country	= {},
	  institution	= {},
	  abstract     = {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.
},
	    journal   = {International Journal of Biomedical and Biological Engineering},
	  volume    = {7},
	  number    = {8},
	  year      = {2013},
	  pages     = {481 - 483},
	  ee        = {https://publications.waset.org/pdf/16219},
	  url   	= {https://publications.waset.org/vol/80},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 80, 2013},
	}