Rapid and accurate prediction of cycloplegic refraction in Chinese children: development and validation of machine learning models.

Detalles Bibliográficos
Publicado en:Journal of Global Health Vol. 15; pp. 1 - 12
Autores principales: Liu, Yujia, Shang, Jianmin, Wang, Yuliang, Zhu, Xingxue, Ye, Chaoying, Wang, Chongyang, Qu, Xiaomei
Formato: equations & formulas research tables/charts Journal Article
Publicado: Edinburgh University Global Health Society 2025
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2025
      vid: 15
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      pub: Edinburgh University Global Health Society
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        atl: Rapid and accurate prediction of cycloplegic refraction in Chinese children: development and validation of machine learning models.
      aug:
        au:
          Liu, Yujia
          Shang, Jianmin
          Wang, Yuliang
          Zhu, Xingxue
          Ye, Chaoying
          Wang, Chongyang
          Qu, Xiaomei
        affil: Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China
      sug:
        subj:
          Refraction, Ocular Evaluation
          Machine Learning Methods
          Chinese Persons
          Predictive Value of Tests Methods
          Prediction Models
          Program Development
          Program Evaluation
          China
          Human
          Male
          Female
          Child, Preschool
          Child
          Academic Medical Centers
          Consent
          Data Analysis Software
          Random Forest
          Boosting Machine Learning Algorithms
          Descriptive Statistics
          Chi Square Test
          Fisher's Exact Test
          One-Way Analysis of Variance
          Post Hoc Analysis
          Child, Preschool: 2-5 years
          Child: 6-12 years
          Male
          Female
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
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    language: English
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