In the published article, there was an error in Supplementary Table 1. The authors accidentally uploaded the incorrect Supplementary Table 1 that contains non-public information of patients.
The updated Supplementary Table has been published.
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
futile recanalization, machine learning, large vessel occlusion, endovascular thrombectomy, predictive model
Citation
Lin X, Zheng X, Zhang J, Cui X, Zou D, Zhao Z, Pan X, Jie Q, Wu Y, Qiu R, Zhou J, Chen N, Tang L, Ge C and Zou J (2024) Corrigendum: Machine learning to predict futile recanalization of large vessel occlusion before and after endovascular thrombectomy. Front. Neurol. 15:1499029. doi: 10.3389/fneur.2024.1499029
Received
20 September 2024
Accepted
26 September 2024
Published
11 October 2024
Volume
15 - 2024
Edited and reviewed by
Jean-Claude Baron, University of Cambridge, United Kingdom
Updates
Copyright
© 2024 Lin, Zheng, Zhang, Cui, Zou, Zhao, Pan, Jie, Wu, Qiu, Zhou, Chen, Tang, Ge and Zou.
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: Jianjun Zou zoujianjun100@126.comChun Ge gechun901020@163.comLi Tang 895610324@qq.com
†These authors have contributed equally to this work and share first authorship
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.