Liu Xiang

Using Kalman Filtering to Forecast Disease Trajectory for Patients With Normal Tension Glaucoma.

As observed previously for patients with HTG, KF can also effectively forecast disease trajectory for many patients with NTG.

Accuracy of Kalman Filtering in Forecasting Visual Field and Intraocular Pressure Trajectory in Patients With Ocular Hypertension.

These findings suggest that machine learning algorithms such as KF can accurately forecast MD, pattern standard deviation, and intraocular pressure 5 years into the future for many patients with OHTN.