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机器学习在角膜塑形镜验配中的应用

张星佟颖马琳云韩宝珠

计算机与数字工程2025，Vol.53Issue(2)：599-603,5.

计算机与数字工程2025，Vol.53Issue(2)：599-603,5.DOI:10.3969/j.issn.1672-9722.2025.02.051

机器学习在角膜塑形镜验配中的应用

Machine Learning in Orthokeratology Lens Fitting

张星 ¹佟颖 ¹马琳云 ¹韩宝珠¹

作者信息

1. 天津师范大学电子与通信工程学院天津 300387||天津师范大学天津市无线移动通信与无线电能传输重点实验室天津 300387
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摘要

Abstract

Corneal shaping lens is the most widely used optical means to control the development of myopia in adolescents in clinical practice,however,there are problems such as inefficiency in the fitting process of traditional corneal shaping lens.This arti-cle explores the intelligent fitting of four important parameters,namely AC,reduction,diameter and CP,by applying machine learning algorithm to assist Mondial keratomileusis.Linear regression,decision tree,ETR,Adaboost and GDBT algorithms are used to construct prediction models for keratoconus and the importance scores of each factor indicator are given in conjunction with the model prediction results.The ETR,Adaboost and GBDT regression models achieve good results in predicting the parameters AC,drop and diameter,respectively,with MSEs of 0.146,0.088 and 0.026 for the test set.The accuracy of the test set is 0.961.The machine learning models based on ETR,Adaboost and GBDT can predict the important parameters of keratoconus better,which can largely improve the efficiency of keratoconus fitting.

关键词

角膜塑形镜/ETR/Adaboost/GBDT

Key words

orthokeratology lens/ETR/Adaboost/GBDT

分类

信息技术与安全科学

引用本文复制引用

张星,佟颖,马琳云,韩宝珠..机器学习在角膜塑形镜验配中的应用[J].计算机与数字工程,2025,53(2):599-603,5.

计算机与数字工程

ISSN：1672-9722

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