Analysis of a Population of Diabetic PatientsDatabases with Classifiers
Yazarlar (2)
Doç. Dr. Murat Köklü Selçuk Üniversitesi, Türkiye
Dr. Öğr. Üyesi Yavuz ÜNAL Amasya Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (Diğer hakemli uluslarası dergilerde yayınlanan tam makale) | ||
| Dergi Adı | International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering | ||
| Dergi Tarandığı Indeksler | International Science Index | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2013 |
| Cilt / Sayı / Sayfa | 7 / 8 / 481–483 | DOI | – |
| UAK Araştırma Alanları |
Görüntü İşleme
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| Özet |
| 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. |
| Anahtar Kelimeler |
