Comparing the usefulness of a new algorithm to measure visual field using the variational Bayes linear regression in glaucoma patients, in comparison to the Swedish interactive thresholding algorithm

BACKGROUND/AIMS: We previously reported that the visual field (VF) prediction model using the variational Bayes linear regression (VBLR) is useful for accurately predicting VF progression in glaucoma (Invest Ophthalmol Vis Sci. 2014, 2018). We constructed a VF measurement algorithm using VBLR, and t...

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Detalles Bibliográficos
Autores principales: Murata, Hiroshi, Asaoka, Ryo, Fujino, Yuri, Matsuura, Masato, Hirasawa, Kazunori, Shimada, Satoshi, Shoji, Nobuyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Clinical Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046736/
https://www.ncbi.nlm.nih.gov/pubmed/33441321
http://dx.doi.org/10.1136/bjophthalmol-2020-318304

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046736/
https://www.ncbi.nlm.nih.gov/pubmed/33441321
http://dx.doi.org/10.1136/bjophthalmol-2020-318304

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