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

Accuracy of Kalman Filtering in Forecasting Visual Field and Intraocular Pressure Trajectory in... This cohort study uses data from patients with ocular hypertension to assess how well Kalman filtering, a machine learning approach used in aviation, can forecast disease trajectory up to 5 years into the future. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA Ophthalmology American Medical Association

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

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References (14)

Publisher
American Medical Association
Copyright
Copyright 2019 American Medical Association. All Rights Reserved.
ISSN
2168-6165
eISSN
2168-6173
DOI
10.1001/jamaophthalmol.2019.4190
Publisher site
See Article on Publisher Site

Abstract

This cohort study uses data from patients with ocular hypertension to assess how well Kalman filtering, a machine learning approach used in aviation, can forecast disease trajectory up to 5 years into the future.

Journal

JAMA OphthalmologyAmerican Medical Association

Published: Dec 14, 2019

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