Kazemnejad, A <br/><br/>
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 
<br/><br/> Publication Type: Comparative Study; Journal Article; Validation Study 
<br/><br/><label>ISSN: </label>1020-3397 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Adult<br/>Aged<br/>Aged, 80 and over<br/>Analysis of Variance<br/>Blood Glucose--metabolism<br/>Case-Control Studies<br/>Diabetes Mellitus--blood<br/>Diagnosis, Differential<br/>Fasting<br/>Female<br/>Glucose Intolerance--blood<br/>Humans<br/>Iran--epidemiology<br/>Logistic Models<br/>Male<br/>Middle Aged<br/>Neural Networks, Computer<br/>Predictive Value of Tests<br/>ROC Curve<br/>Urban Health--statistics & numerical data