Front. Med.Frontiers in MedicineFront. Med.2296-858XFrontiers Media S.A.10.3389/fmed.2024.1513862MedicineCorrectionCorrigendum: Predicting 24-hour intraocular pressure peaks and averages with machine learningChenRanran1LeiJinming2LiaoYujie1JinYiping1WangXue3LiXiaomei1WuDanping1LiHong1BiYanlong4*ZhuHaohao1*1Department of Ophthalmology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China2Software Engineering, Shenzhen Yishi Huolala Technology Company Limited, Shenzhen, China3Department of Ophthalmology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China4Department of Ophthalmology, Tongji Eye Institute, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
Edited and reviewed by: Flora Hui, Centre for Eye Research Australia, Australia
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A Corrigendum on Predicting 24-hour intraocular pressure peaks and averages with machine learning by Chen, R., Lei, J., Liao, Y., Jin, Y., Wang, X., Li, X., Wu, D., Li, H., Bi, Y., and Zhu, H. (2024). Front. Med. 11:1459629. doi: 10.3389/fmed.2024.1459629intraocular pressure24-hourmeasurementnocturnalmachine learningglaucomasection-at-acceptanceOphthalmology
In the published article, there was an error in Figure 4. During the final confirmation process, we updated the term “gender” to “sex” in the manuscript; however, we regrettably overlooked this change in Figure 4. The corrected Figure 4 and its caption appear below.
SHAP value analysis for peak and average IOP prediction models. (A) SHAP values for peak IOP prediction model. (B) SHAP values for average IOP prediction model.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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