Improving Diabetic Diagnosis and Prevention with Machine Learning on Retinal Imaging

Abstract The purpose of this research was to build an optimized model by machine learning algorithms that can improve the diagnosis accuracy of classifying patients at high risk of diabetes using retinal imaging. If the retinal imaging shows evidence of abnormalities such as change in volume, diameter, and unusual spots in the retina, then there is ..