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

3. 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  , DOI: ( /j.diabres )
Copyright © 2015 Elsevier Ireland Ltd Terms and Conditions