Machine Learning to Determine Risk Factors for Myopia Progression in Primary School Children: The Anyang Childhood Eye Study

INTRODUCTION: To investigate the risk factors for myopia progression in primary school children and build prediction models by applying machine learning to longitudinal, cycloplegic autorefraction data. METHODS: A total of 2740 children from grade 1 to grade 6 were examined annually over a period of...

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Detalles Bibliográficos
Autores principales: Li, Shi-Ming, Ren, Ming-Yang, Gan, Jiahe, Zhang, San-Guo, Kang, Meng-Tian, Li, He, Atchison, David A., Rozema, Jos, Grzybowski, Andrzej, Wang, Ningli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927561/
https://www.ncbi.nlm.nih.gov/pubmed/35061239
http://dx.doi.org/10.1007/s40123-021-00450-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927561/
https://www.ncbi.nlm.nih.gov/pubmed/35061239
http://dx.doi.org/10.1007/s40123-021-00450-2

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