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ISSN 2063-5346
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DEEP LEARNING APPROACH FOR PREDICTING GLAUCOMA PROGRESSION USING ELECTRONIC HEALTH RECORDS.

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A. K. Gayathri, Dr. A. Muthukrishnan, Dr. S. Kamalesh
» doi: 10.31838/ecb/2023.12.si6.194

Abstract

The showing causations of blindness and equatorial unreality in the United States are primarily period-related eye conditions like age-related macular degener- ation, cataract, diabetic retinopathy, and glaucoma. Other common eye diseases in- clude amblyopia and hypermetropia. Correc- tive eyeglasses, contact lenses, refractive sur- gery, or lens implantation for diplopia are some of the most sought-after treatment op- tions for this eye complaint. Data booby-trap- ping ways can effectively prognosticate Ac- curacy, Precision, Recall, and F1_scorea. In this design, we use CNN and ANN to prog- nosticate the complaint.

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