Does multidimensional daily information predict the onset of myopia? A 1-year prospective cohort study

被引:0
作者
Wei Peng
Fei Wang
Shaoming Sun
Yining Sun
Jingcheng Chen
Mu Wang
机构
[1] Chinese Academy of Sciences,Hefei Institutes of Physical Science
[2] University of Science and Technology of China,undefined
[3] The Second Hospital of Anhui Medical University,undefined
[4] CAS Hefei Institute of Technology Innovation,undefined
来源
BioMedical Engineering OnLine | / 22卷
关键词
Myopia; Prediction; Daily information; Machine learning algorithm; Interpretability;
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[1]  
Holden BA(2016)Global prevalence of myopia and high myopia and temporal trends from 2000 through 2050 Ophthalmology 123 1036-1042
[2]  
Fricke TR(2019)Risk factors for high myopia: a 22-year follow-up study from childhood to adulthood Acta Ophthalmol 97 510-518
[3]  
Wilson DA(2020)Association of age at myopia onset with risk of high myopia in adulthood in a 12-year follow-up of a Chinese cohort JAMA Ophthalmol 138 1129-1134
[4]  
Parssinen O(2020)A machine learning-based algorithm used to estimate the physiological elongation of ocular axial length in myopic children Eye and Vision 7 50-883
[5]  
Kauppinen M(2021)Update and guidance on management of myopia. European society of ophthalmology in cooperation with international myopia institute Eur J Ophthalmol 31 853-M19
[6]  
Hu Y(2019)IMI—myopia control reports overview and introduction Invest Ophthalmol Vis Sci 60 M1-689
[7]  
Ding X(2015)Prediction of juvenile-onset myopia JAMA Ophthalmol 133 683-2519
[8]  
Guo X(2007)Refractive error, axial length, and relative peripheral refractive error before and after the onset of myopia Invest Ophthalmol Vis Sci 48 2510-1943
[9]  
Tang T(1999)Ocular predictors of the onset of juvenile myopia Invest Ophthalmol Vis Sci 40 1936-872
[10]  
Yu Z(2020)Predictive models for the incidence and progression of myopia in children Invest Ophthalmol Vis Sci 61 856-e143