A classification model for predicting eye disease in newly diagnosed people with type 2 diabetes  Simon Lebech Cichosz, Mette Dencker Johansen, Søren Tang Knudsen, Troels Krarup Hansen, Ole Hejlesen  Diabetes Research and Clinical Practice  Volume 108, Issue 2, Pages 210-215 (May 2015) DOI: 10.1016/j.diabres.2015.02.020 Copyright © 2015 Elsevier Ireland Ltd Terms and Conditions

Fig. 1 Shows the separability in terms of ROC AUC above the random classifier for each predictor. Diabetes Research and Clinical Practice 2015 108, 210-215DOI: (10.1016/j.diabres.2015.02.020) Copyright © 2015 Elsevier Ireland Ltd Terms and Conditions

Fig. 2 A. Shows the ROC for the model (solid line) and with that of only HbA1c (stippled line). B. Shows the performance in absolute individuals at a chosen threshold with a sensitivity of 97.7%. “Pred pos” means cases predicted to have retinopathy and “Pred neg” means cases predicted not to have any signs of retinopathy. Diabetes Research and Clinical Practice 2015 108, 210-215DOI: (10.1016/j.diabres.2015.02.020) Copyright © 2015 Elsevier Ireland Ltd Terms and Conditions