Comparison of artificial neural network and binary logistic regression for determination of impaired glucose tolerance/diabetes.

Kazemnejad, A

Comparison of artificial neural network and binary logistic regression for determination of impaired glucose tolerance/diabetes. [electronic resource] - Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit Jun 2010 - 615-20 p. digital

Publication Type: Comparative Study; Journal Article; Validation Study

1020-3397


Adult
Aged
Aged, 80 and over
Analysis of Variance
Blood Glucose--metabolism
Case-Control Studies
Diabetes Mellitus--blood
Diagnosis, Differential
Fasting
Female
Glucose Intolerance--blood
Humans
Iran--epidemiology
Logistic Models
Male
Middle Aged
Neural Networks, Computer
Predictive Value of Tests
ROC Curve
Urban Health--statistics & numerical data