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.
Figure 4
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.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
intraocular pressure, 24-hour, measurement, nocturnal, machine learning, glaucoma
Citation
Chen R, Lei J, Liao Y, Jin Y, Wang X, Li X, Wu D, Li H, Bi Y and Zhu H (2024) Corrigendum: Predicting 24-hour intraocular pressure peaks and averages with machine learning. Front. Med. 11:1513862. doi: 10.3389/fmed.2024.1513862
Received
19 October 2024
Accepted
29 October 2024
Published
08 November 2024
Volume
11 - 2024
Edited and reviewed by
Flora Hui, Centre for Eye Research Australia, Australia
Updates
Copyright
© 2024 Chen, Lei, Liao, Jin, Wang, Li, Wu, Li, Bi and Zhu.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yanlong Bi biyanlong@tongji.edu.cnHaohao Zhu zhuhaohao@fudan.edu.cn
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.