July Research Update – Diabetic Retinopathy (DR) Debrecen Data

Through the University of California, Irvine, we obtained 1200 observations in the form of eye fundus color numerical images of the subjects’ posterior pole. They reflect the retinopathy grade of each subject and contain professional medical diagnoses of every subject’s risk of macular edema. We hope that, through our Image-on-Scalar regression method, we can analyze how the retinopathy grade is related to other factors like subject’s age, gender and risk of macular edema. If possible, base on the image, we want to match and predict the medical diagnoses for each observation.