Unsupervised Machine Learning Identifies Quantifiable Patterns of Visual Field Loss in Idiopathic Intracranial Hypertension

PURPOSE: Archetypal analysis, a form of unsupervised machine learning, identifies archetypal patterns within a visual field (VF) dataset such that any VF is described as a weighted sum of its archetypes (ATs) and has been used to quantify VF defects in glaucoma. We applied archetypal analysis to VFs...

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Detalles Bibliográficos
Autores principales: Doshi, Hiten, Solli, Elena, Elze, Tobias, Pasquale, Louis R., Wall, Michael, Kupersmith, Mark J.
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/PMC8411857/
https://www.ncbi.nlm.nih.gov/pubmed/34459860
http://dx.doi.org/10.1167/tvst.10.9.37

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411857/
https://www.ncbi.nlm.nih.gov/pubmed/34459860
http://dx.doi.org/10.1167/tvst.10.9.37

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