Chris Andrews

Augmenting Kalman Filter Machine Learning Models with Data from OCT to Predict Future Visual Field Loss: An Analysis Using Data from the African Descent and Glaucoma Evaluation Study and the Diagnostic Innovation in Glaucoma Study.

Adding retinal nerve fiber layer data to Kalman filters minimally improved glaucoma prediction. These models offer better accuracy than linear regression, guiding their clinical use for forecasting visual field loss.