Machine Learning-Based Integration of Metabolomics Characterisation Predicts Progression of Myopic Retinopathy in Children and Adolescents

Machine Learning-Based Integration of Metabolomics Characterisation Predicts Progression of Myopic Retinopathy in Children and Adolescents

Myopic retinopathy is an important cause of irreversible vision loss and blindness. As metabolomics has recently been successfully applied in myopia research, this study sought to characterize the serum metabolic profile of myopic retinopathy in children and adolescents (4–18 years) and to develop a...

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Bibliographic Details
Main Authors: Xiao-Wen Hou, Jin-Liu-Xing Yang, Dan-Lin Li, Yi-Jin Tao, Chao-Fu Ke, Bo Zhang, Shang Liu, Tian-Yu Cheng, Tian-Xiao Wang, Xun Xu, Xian-Gui He, Chen-Wei Pan
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Metabolites
Subjects:
myopic retinopathy
children and adolescents
metabolomics
machine learning
prediction model
Online Access:https://www.mdpi.com/2218-1989/13/2/301

Internet

https://www.mdpi.com/2218-1989/13/2/301

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