Predicting eyes at risk for rapid glaucoma progression based on an initial visual field test using machine learning.
<h4>Objective</h4>To assess whether machine learning algorithms (MLA) can predict eyes that will undergo rapid glaucoma progression based on an initial visual field (VF) test.<h4>Design</h4>Retrospective analysis of longitudinal data.<h4>Subjects</h4>175,786 VFs (...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0249856 |