The Potential of SHAP and Machine Learning for Personalized Explanations of Influencing Factors in Myopic Treatment for Children

The Potential of SHAP and Machine Learning for Personalized Explanations of Influencing Factors in Myopic Treatment for Children

<i>Background and Objectives:</i> The rising prevalence of myopia is a significant global health concern. Atropine eye drops are commonly used to slow myopia progression in children, but their long-term use raises concern about intraocular pressure (IOP). This study uses SHapley Additive...

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Bibliographic Details
Main Authors: Jun-Wei Chen, Hsin-An Chen, Tzu-Chi Liu, Tzu-En Wu, Chi-Jie Lu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Medicina
Subjects:
myopia
atropine
intraocular pressure
machine learning
SHAP value
Online Access:https://www.mdpi.com/1648-9144/61/1/16
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