Prediction of spherical equivalent difference before and after cycloplegia in school-age children with machine learning algorithms

PURPOSE: To predict the need for cycloplegic assessment, as well as refractive state under cycloplegia, based on non-cycloplegic ocular parameters in school-age children. DESIGN: Random cluster sampling. METHODS: The cross-sectional study was conducted from December 2018 to January 2019. Random clus...

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Detalles Bibliográficos
Autores principales: Du, Bei, Wang, Qingxin, Luo, Yuan, Jin, Nan, Rong, Hua, Wang, Xilian, Nian, Hong, Guo, Li, Liang, Meng, Wei, Ruihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126339/
https://www.ncbi.nlm.nih.gov/pubmed/37113174
http://dx.doi.org/10.3389/fpubh.2023.1096330

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126339/
https://www.ncbi.nlm.nih.gov/pubmed/37113174
http://dx.doi.org/10.3389/fpubh.2023.1096330

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