Machine-learning models to predict myopia in children and adolescents

Myopia prediction models based on machine learning demonstrated favorable predictive performance and accurately identified myopia risk factors, and may therefore aid in the implementation of myopia prevention and control measures among high-risk individuals.

Authors

Jingfeng Mu (ORCID: https://orcid.org/0000-0002-3538-4337)
Haoxi Zhong
Mingjie Jiang

Publication Details

Journal: Frontiers in Medicine
Published: 2024-11-19
DOI: https://doi.org/10.3389/fmed.2024.1482788
Citations: 10
Primary Topic: Ophthalmology and Visual Impairment Studies
Type: article
Field-Weighted Citation Impact: 3.87

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article

Machine-learning models to predict myopia in children and adolescents

Jingfeng Mu, Haoxi Zhong, Mingjie Jiang

Nov 19, 2024

10 citations

Frontiers in Medicine

Ophthalmology and Visual Impairment Studies

3.87

article

Machine-learning models to predict myopia in children and adolescents

Jingfeng Mu, Haoxi Zhong, Mingjie Jiang

November 19, 2024article en

10 citations

Abstract

Frontiers in MedicineVol. 11

Quality Education

Openalex Percentile: Top 6%

Ophthalmology and Visual Impairment Studies

3.87

DOI Open Access PDF OpenAlex

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Machine-learning models to predict myopia in children and adolescents — Jingfeng Mu, Haoxi Zhong, et al. · Frontiers in Medicine (2024) | TGRS Research Map | TGRS