Table 6.

The Effect of Diagnosis on Forecasting Performance

	Forecasting Model That Used the Augmented Feature Set
Diagnosis	Without Initial Diagnosis as a Feature	With Initial Diagnosis as a Feature	P Value*
Healthy	1.28 (0.83)	1.10 (0.60)	0.67
Glaucoma suspect	1.84 (1.70)	1.79 (1.73)	0.88
Glaucoma	1.85 (1.84)	1.87 (1.85)	0.89
All	1.83 (1.75)	1.81 (1.77)	0.96

Mean absolute error computed for the global mean circumpapillary retinal nerve fiber layer thickness forecasting using the measurements and 3-dimensional convolutional neural network features extracted from OCT volume model with the initial diagnosis as input feature and without the initial diagnosis as input feature.

Data are mean (standard deviation) in micrometers.

^*Paired t test.