Machine learning identifies pupil size and corneal thickness as key predictors of axial elongation rate

• Peng Zhou,

  Roles Conceptualization, Investigation, Software, Writing – original draft, Writing – review & editing

  Affiliations Optometry Center, Peking University People’s Hospital, Beijing, China, Department of Ophthalmology, ParkwayHealth Shanghai, Shanghai, China

  https://orcid.org/0000-0002-1744-5167

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• Sitong Chen,

  Roles Data curation, Formal analysis, Methodology

  Affiliations Optometry Center, Peking University People’s Hospital, Beijing, China, Department of Ophthalmology, Peking University People’s Hospital, Beijing, China, Beijing Key Laboratory of Diagnosis and Therapy of Ocular Diseases and Optometry, Beijing, China, School of Optometry and Ophthalmology, Peking University Health Science Center, Beijing, China, Institute of Medical Technology, Peking University Health Science Center, Beijing, China

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• Yingli Li,

  Roles Validation, Visualization

  Affiliations Optometry Center, Peking University People’s Hospital, Beijing, China, Department of Ophthalmology, Peking University People’s Hospital, Beijing, China, Beijing Key Laboratory of Diagnosis and Therapy of Ocular Diseases and Optometry, Beijing, China, School of Optometry and Ophthalmology, Peking University Health Science Center, Beijing, China, Institute of Medical Technology, Peking University Health Science Center, Beijing, China

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• Yan Li

  Roles Conceptualization, Supervision, Writing – review & editing

  ^* eyedrliyan@outlook.com

  Affiliations Optometry Center, Peking University People’s Hospital, Beijing, China, Department of Ophthalmology, Peking University People’s Hospital, Beijing, China, Beijing Key Laboratory of Diagnosis and Therapy of Ocular Diseases and Optometry, Beijing, China, School of Optometry and Ophthalmology, Peking University Health Science Center, Beijing, China, Institute of Medical Technology, Peking University Health Science Center, Beijing, China

  https://orcid.org/0009-0005-1157-7520

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