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Artificial Neural Network Approach for Differentiating Open-Angle Glaucoma From Glaucoma Suspect Without a Visual Field Test.

Investigative ophthalmology & visual science 26098462
PURPOSE: To increase the effectiveness of treating open-angle glaucoma (OAG), we tried to find a screening method of differentiating OAG from glaucoma suspect (GS) without a visual field (VF) test.
Adult Aged Cross-Sectional Studies Diagnosis, Differential Diagnostic Techniques, Ophthalmological Female Glaucoma Glaucoma, Open-Angle Humans Intraocular Pressure Male Middle Aged Multivariate Analysis Nerve Fibers Neural Networks, Computer Ocular Hypertension Predictive Value of Tests Refractive Errors Retinal Ganglion Cells Risk Factors Sensitivity and Specificity Tomography, Optical Coherence Visual Acuity
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