Author:
DOĞANTEKİN Akif,BAL Cafer
Publisher
Firat Universitesi Muhendislik Bilimleri Dergisi
Reference24 articles.
1. [1] American Diabetes Association. (2014). Diagnosis and classification of diabetes mellitus. Diabetes care, 37(Supplement 1), S81-S90.
2. [2] American Diabetes Association. (2014). Standards of medical care in diabetes—2014. Diabetes care, 37(Supplement 1), S14-S80.
3. [3] Johnson, R. J., Nakagawa, T., Sanchez-Lozada, L. G., Shafiu, M., Sundaram, S., Le, M., ... & Lanaspa, M. A. (2013). Sugar, uric acid, and the etiology of diabetes and obesity. Diabetes, 62(10), 3307-3315.
4. [4] K. Polat, S. Gunes and A. Arslan, (2008). A cascade learning system for classication of diabetes disease: Generalized Discriminant Analysis and Least Square Support Vector Machine, Expert Systems with Applications 34, p.p.482–487.
5. [5] K., Kayaer, & T. Yıldırım, (2003). Medical diagnosis on pima indian diabetes using general regression neural networks, artificial neural networks and neural information processing (ICANN/ICONIP) (pp. 181–184), Istanbul, Turkey, June 26–29.