Development and validation to predict visual acuity and keratometry two years after corneal crosslinking with progressive keratoconus by machine learning

PURPOSE: To explore and validate the utility of machine learning (ML) methods using a limited sample size to predict changes in visual acuity and keratometry 2 years following corneal crosslinking (CXL) for progressive keratoconus. METHODS: The study included all consecutive patients with progressiv...

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Detalles Bibliográficos
Autores principales: Liu, Yu, Shen, Dan, Wang, Hao-yu, Qi, Meng-ying, Zeng, Qing-yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393251/
https://www.ncbi.nlm.nih.gov/pubmed/37534322
http://dx.doi.org/10.3389/fmed.2023.1146529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393251/
https://www.ncbi.nlm.nih.gov/pubmed/37534322
http://dx.doi.org/10.3389/fmed.2023.1146529

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