Accuracy Improvement of IOL Power Prediction for Highly Myopic Eyes With an XGBoost Machine Learning-Based Calculator

Accuracy Improvement of IOL Power Prediction for Highly Myopic Eyes With an XGBoost Machine Learning-Based Calculator

Purpose: To develop a machine learning-based calculator to improve the accuracy of IOL power predictions for highly myopic eyes.Methods: Data of 1,450 highly myopic eyes from 1,450 patients who had cataract surgeries at our hospital were used as internal dataset (train and validate). Another 114 hig...

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Bibliographic Details
Main Authors: Ling Wei, Yunxiao Song, Wenwen He, Xu Chen, Bo Ma, Yi Lu, Xiangjia Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Medicine
Subjects:
machine learning
refractive error
myopia
intraocular lens
IOL power calculation
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2020.592663/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2020.592663/full

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