An Intelligent Machine Learning Support System for Glaucoma Prediction Among Diabetic Patients

Glaucoma is a pervasive retinal disease that leads to chronic vision loss without any warning signals. In order to prevent vision issues on time, early detection of glaucoma is mandatory among diabetic people. An intelligent prediction system is designed to predict glaucoma in this pandemic situation using the machine learning model. In this proposed system, Bayesian optimization support vector machine is incorporated in to the local real time diabetic people dataset and obtain the prediction of glaucoma with the accuracy of 96.6%,the area under curve of 0.83 in the training set and the accuracy of 97.4% with 0.943, 0.951 of sensitivity and specificity respectively.