header image

Evi Kotsiliti – Progress Report 6

Posted by: | June 1, 2017 | No Comment |

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:

poster_EU research nights lights 2016_v2

under: Uncategorized

Leave a response

Your response: