Table 1.
List of selected features for the algorithm training process. For each variable, a data type description, mean, and standard deviation are reported.
| Datum Type | Feature Name | Variable Type (Levels) |
Value (Mean ± SD or Numbers) |
|---|---|---|---|
| OCT-derived information | Volume (sectors 1–9) | Numerical | 0.9078 mm3 ± 0.5674 |
| Volumetric map | Numerical | 292.05 mm3 ± 76.6557 | |
| Thickness (sectors 1–9) | Numerical | 301.1327 µm ± 67.1518 | |
| Central retinal thickness | Numerical | 254.0352 µm ± 79.7335 | |
| OCT-derived annotation | Subretinal fluid | Categorical (0;1) | 0 (n = 471); 1 (n = 69) |
| Intraretinal fluid | Categorical (0;1) | 0 (n = 502); 1 (n = 38) | |
| Intraretinal cyst | Categorical (0;1) | 0 (n = 476); 1 (n = 64) | |
| NE detachment | Categorical (0;1) | 0 (n = 522); 1 (n = 18) | |
| RPE detachment | Categorical (0;1) | 0 (n = 479); 1 (n = 61) | |
| Visual function | BCVA | Numerical | 0.0895 logMAR ± 0.127 |
SD = standard deviation; OCT = optical coherence tomography; NE = neuroepithelium; RPE = retinal pigment epithelium; BCVA = best-corrected visual acuity.