Application of an artificial neural network model for diagnosing type 2 diabetes mellitus and determining the relative importance of risk factors.

In this study, waist circumference and age were the most important predictors of T2DM. Due to the sensitivity, specificity, and accuracy of the final model, it is suggested that these variables should be used for T2DM risk assessment in screening tests.