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To evaluate machine learning (ML) approaches for structure–function modeling to estimate visual field (VF) loss in glaucoma, models from different ML approaches were trained on optical coherence tomography thickness measurements to estimate global VF mean deviation (VF MD) and focal VF loss from 24‐2 standard automated perimetry. The models were compared using mean absolute errors (MAEs). Baseline...
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