Artificial Neural Network Approach for Differentiating Open-Angle Glaucoma From Glaucoma Suspect Without a Visual Field Test.
Journal:
Investigative ophthalmology & visual science
Published Date:
Jun 1, 2015
Abstract
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.
Authors
Keywords
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