Development and validation of predictive models for myopia onset and progression using extensive 15-year refractive data in children and adolescents

Development and validation of predictive models for myopia onset and progression using extensive 15-year refractive data in children and adolescents

Abstract Background Global myopia prevalence poses a substantial public health burden with vision-threatening complications, necessitating effective prevention and control strategies. Precise prediction of spherical equivalent (SE), myopia, and high myopia onset is vital for proactive clinical inter...

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Bibliographic Details
Main Authors: Jing Zhao, Yanze Yu, Yiming Li, Feng Li, Zhe Zhang, Weijun Jian, Zhi Chen, Yang Shen, Xiaoying Wang, Zhengqiang Ye, Chencui Huang, Xingtao Zhou
Format: Article
Language:English
Published: BMC 2024-03-01
Series:Journal of Translational Medicine
Subjects:
Myopia
High myopia
Cycloplegic refraction
Machine learning
Predictive model
Online Access:https://doi.org/10.1186/s12967-024-05075-0

Internet

https://doi.org/10.1186/s12967-024-05075-0

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