Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records.

Abstract

Successful approaches to detecting latent retinopathy using machine learning could help safety net and other clinics identify unscreened patients who are most at risk of developing retinopathy and the use of ensemble classifiers on clinical data shows promise for this purpose.