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 (𝑛=46)	Glaucoma (𝑛=57)	𝑃
Age (years; mean ± SD)	56.5±8.9	59.9±9.0	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)	0.04±0.09	0.09±0.10	0.010
Spherical equivalent (diopters; mean ± SD)	0.78±1.6	0.95±1.4	0.586
Intraocular pressure (mmHg; mean ± SD)	14.7±2.6	13.8±2.5	0.100
Medications (mean ± SD)	0	2.0±1.1	<0.001
MD (dB; mean ± SD)	−1.4±1.6	−4.0±2.4	<0.001
PSD (dB; mean ± SD)	1.8±0.7	4.3±2.4	<0.001

SD: standard deviation; MD: mean deviation; dB: decibel; PSD: pattern standard deviation.