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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...
Autores principales: | Liu, Yu, Shen, Dan, Wang, Hao-yu, Qi, Meng-ying, Zeng, Qing-yan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
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 |
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