Development and Comparison of Machine Learning Algorithms to Determine Visual Field Progression

PURPOSE: To develop and test machine learning classifiers (MLCs) for determining visual field progression. METHODS: In total, 90,713 visual fields from 13,156 eyes were included. Six different progression algorithms (linear regression of mean deviation, linear regression of the visual field index, A...

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Detalles Bibliográficos
Autores principales: Saeedi, Osamah, Boland, Michael V., D'Acunto, Loris, Swamy, Ramya, Hegde, Vikram, Gupta, Surabhi, Venjara, Amin, Tsai, Joby, Myers, Jonathan S., Wellik, Sarah R., DeMoraes, Gustavo, Pasquale, Louis R., Shen, Lucy Q., Li, Yangjiani, Elze, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237084/
https://www.ncbi.nlm.nih.gov/pubmed/34157101
http://dx.doi.org/10.1167/tvst.10.7.27

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237084/
https://www.ncbi.nlm.nih.gov/pubmed/34157101
http://dx.doi.org/10.1167/tvst.10.7.27

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