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Phenotyping of ABCA4 Retinopathy by Machine Learning Analysis of Full-Field Electroretinography
PURPOSE: Biallelic pathogenic variants in ABCA4 are the commonest cause of monogenic retinal disease. The full-field electroretinogram (ERG) quantifies severity of retinal dysfunction. We explored application of machine learning in ERG interpretation and in genotype–phenotype correlations. METHODS:...
Autores principales: | Glinton, Sophie L., Calcagni, Antonio, Lilaonitkul, Watjana, Pontikos, Nikolas, Vermeirsch, Sandra, Zhang, Gongyu, Arno, Gavin, Wagner, Siegfried K., Michaelides, Michel, Keane, Pearse A., Webster, Andrew R., Mahroo, Omar A., Robson, Anthony G. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527330/ https://www.ncbi.nlm.nih.gov/pubmed/36178783 http://dx.doi.org/10.1167/tvst.11.9.34 |
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