DOI: 10.14704/nq.2022.20.11.NQ66240

A METHODOLOGICAL ANALYSIS AND PREDICTION OF GLAUCOMA DISEASE

Dr. S. RAJALAKSHMI, Dr.R.MAGUTEESWARAN

Abstract

In these recent times, aged people aren’t seriously taking care of the body. Nowadays, young generations ignore small symptoms that may cause a serious problem or damage in the coming years. So, early prediction and treating the particular disease may avoid a risk factor. This paper analyses about glaucoma diseases which is related to ophthalmology,which is a treatment related to eye disorders. Glaucoma is a disease that causes people to be blind when it gets severe. In this paper different machine learning techniques are applied to analyse the accuracy and the highest accuracy is shown as a result of the predicted glaucoma using CNN. This system helps in early prediction of this disease and provides a new cure at the early stage before it would get worsen.

Keywords

Glaucoma Disease, SVM, Random Forest, Logistic Regression, Adaboost And CNN.

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