In the last reporting period, a model for predicting patients at risk of developing diabetic retinopathy was designed based on patient characteristics and clinical measurements. The model yielded a cross-validated AUC of 0.77 ± 0.04 and could be used to identify patients at risk of developing retinopathy, resulting to a significant reduction of the number of screening visits.
The below poster was also presented at the European Researchers’ LiGHTS Nights 2016 Science Festival hosted by the University of Lincoln:
