Review of the Diabetic Retinopathy Prediction Model Based on the Enhanced VGH Algorithm

The most common disease in diabetic patients is diabetic retinopathy. It can cause eye blindness in people if it is not treated. The majority of people with type-1 and type-2 diabetes get DR as a consequence. Diabetes now becomes a main challenge to our human health. Till now many technologies and algorithms have implemented to detect DR stage. To detect DR in early stages is must to prevent from blindness of an eye. In this paper we have discussed some of the different authors implemented the employing several deep learning and machine learning methods to find diabetic retinopathy. This paper gives the proposed model of detection of DR using VGH algorithm. New technology can be implemented in future using the Vision guided horse optimizer (VGH algorithm), which is formed by the standard hybridization of the optics inspired and horse herd optimization that helps in achieving faster convergence.