东华大学学报（英文版）2024，Vol.41Issue(2)：184-194,11.DOI:10.19884/j.1672-5220.202302004
Stacking集成学习应用于近视矫正中的角膜塑形镜临床验配
Application of Stacking Ensemble Learning in Clinical Fitting of Orthokeratology Lens for Myopia Correction
摘要
Abstract
Aiming at the problems of a large difficulty coefficient and tedious process in the clinical fitting of the orthokeratology(OK)lens,a stacking ensemble learning model is proposed to predict the parameters of the OK lens and realize its intelligent fitting.The feature set that is most suitable for the target variables is constructed by feature derivation based on F-test and feature selection under the variance-improved Boruta algorithm.A stacking ensemble learning prediction model is studied.The model uses random forest(RF),gradient boosting decision tree(GBDT)and support vector regression(SVR)as the first layer basic learners and linear regression(LR)as the second layer meta-learner.The experimental results show that the prediction indexes of the model are highly consistent with the clinical diagnosis results,which verifies that the model can be used as an effective auxiliary diagnosis method.关键词
角膜塑形(OK)镜/特征工程/stacking集成模型/参数预测/智能验配Key words
orthokeratology(OK)lens/feature engineering/stacking ensemble model/parameter prediction/intelligent fitting分类
信息技术与安全科学引用本文复制引用
巩家铭,李康妹,胡俊,陈浩,曹倩倩,吴戈..Stacking集成学习应用于近视矫正中的角膜塑形镜临床验配[J].东华大学学报（英文版）,2024,41(2):184-194,11.基金项目
Shanghai Science and Technology Project,China(No.20DZ2251400) （No.20DZ2251400）
