Supplementary file 2_Retinal features as predictive indicators for high myopia: insights from explainable multi-machine learning models.docx

Supplementary file 2_Retinal features as predictive indicators for high myopia: insights from explainable multi-machine learning models.docx

Objectives<p>To investigate the role of retinal characteristics for high myopia (HM) prediction based on multi-machine learning (ML) and to provide an interpretable framework for the results.</p>Methods<p>A total of 2981 patients (2981 eyes) were included, comprising 1191 HM eyes a...

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Bibliographic Details
Main Author: Haohan Zou (15255107) (author)
Other Authors: Jing Liu (38537) (author), Shenda Shi (15255110) (author), Saiguang Ling (14831383) (author), Qian Fan (425325) (author), Yan Huo (531673) (author), Zhou Dong (6293171) (author), Guoge Han (8318052) (author), Shengjin Wang (15255116) (author), Yan Wang (15435) (author)
Published: 2025
Subjects:
Biotechnology
high myopia
retinal imaging omics
machine learning
deep learning
shapley additive exPlanation
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