Applying decision tree for identification of a low risk population for type 2 diabetes. Tehran Lipid and Glucose Study.
Ramezankhani A, Pournik O, Shahrabi J, Khalili D, Azizi F, Hadaegh F.
Ramezankhani A, et al.
Diabetes Res Clin Pract. 2014 Sep;105(3):391-8. doi: 10.1016/j.diabres.2014.07.003. Epub 2014 Jul 18.
Diabetes Res Clin Pract. 2014.
PMID: 25085758
The overall classification accuracy was 90.5%, with 31.1% sensitivity, 97.9% specificity; and for the subjects without diabetes, precision and f-measure were 92% and 0.95, respectively. The identified variables included fasting plasma glucose, body mass index, triglyceride …
The overall classification accuracy was 90.5%, with 31.1% sensitivity, 97.9% specificity; and for the subjects without diabetes, precision a …