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Machine learning classification of cycloplegic refractive status in children and adolescents using non-cycloplegic

Keke Liu1,2, Huijuan Luo2, Yan Chen1,2

  • 1School of Public Health, Capital Medical University, No. 10, West Toujiao, Right Anmenwai, Fengtai District, Beijing, 100069, People's Republic of China.

BMC Medical Informatics and Decision Making
|April 23, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Children and adolescentsCycloplegic refractionMachine learningMyopia screeningNon-cycloplegic measurementRefractive error classification

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