Table 4.

Mean Absolute Error Computed for the Global Mean Circumpapillary Retinal Nerve Fiber Layer Thickness Forecasting Using 3 Methods: Linear Trend-Based Estimation, Forecasting Model (Measurement Features Only), and the Forecasting Model That Used the Augmented Feature Set

Diagnosis	Linear Trend-Based Estimation	Measurement Features	Measurement Features plus Convolutional Neural Network Features	P Value*
Healthy	1.55 (1.16)	1.58 (0.93)	1.10 (0.60)	0.64
Glaucoma suspect	2.40 (2.67)	2.01 (1.87)	1.79 (1.73)	0.035
Glaucoma	3.02 (3.06)	2.44 (2.34)	1.87 (1.85)	<0.001
All	2.66 (2.86)	2.21 (2.11)	1.81 (1.77)	<0.001

Data are mean (standard deviation) in micrometers.

^*One-way analysis of variance of 3 errors.