Clinical Study
Glaucoma Diagnostic Accuracy of Machine Learning Classifiers Using Retinal Nerve Fiber Layer and Optic Nerve Data from SD-OCT
Table 1
Demographic characteristics of the healthy and glaucoma groups.
| | Healthy () | Glaucoma () | |
| Age (years; mean ± SD) | | | 0.054 | Gender (male [%] : female [%]) | 23 [50.0] : 23 [50.0] | 28 [49.2] : 29 [50.8] | 0.930 | Race (Caucasian [%] : African-American [%]) | 35 [76.0] : 11 [24.0] | 43 [75.4] : 14 [24.6] | 0.539 | Visual acuity LogMAR (mean ± SD) | | | 0.010 | Spherical equivalent (diopters; mean ± SD) | | | 0.586 | Intraocular pressure (mmHg; mean ± SD) | | | 0.100 | Medications (mean ± SD) | 0 | | <0.001 | MD (dB; mean ± SD) | | | <0.001 | PSD (dB; mean ± SD) | | | <0.001 |
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SD: standard deviation; MD: mean deviation; dB: decibel; PSD: pattern standard deviation.
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