Document Type : Research Paper
Authors
1 International UNESCO center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
2 Department of Nutrition, Food Sciences and Clinical Biochemistry, School of Medicine, Social
3 Department of Statistics, Faculty of Mathematics and Computer Sciences, Allameh Tabataba’i University, Tehran, Iran
4 Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
5 International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
6 Department of Applied Mathematics, Ferdowsi University of Mashhad, Mashhad, Iran
7 Department of Biostatistics and Epidemiology California, Loma Linda University, USA
8 Cardiovascular Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
9 Department of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran
10 Department of Modern Sciences & Technologies, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
11 Brighton & Sussex Medical School, Division of Medical Education, Falmer, Brighton, Sussex BN1 9PH, UK
12 Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
Abstract
Keywords
Main Subjects
12.Tayefi M, Esmaeily H, Ghayour-Mobarhan M, Amirabadizadeh AR. Comparing three data mining algorithms for identifying associated risk factors of Type 2 Diabetes. Medical Technologies Journal. 2017;1(4):133-4.