Machine learning to predict futile recanalization of large vessel occlusion before and after endovascular thrombectomy
- 1School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
- 2Department of Pharmacy Nanjing First Hospital, Nanjing Medical University, Nanjing, China
- 3Department of Neurology, Nanjing Yuhua Hospital, Yuhua Branch of Nanjing First Hospital, Nanjing Medical University, Nanjing, China
- 4Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
- 5Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
- 6Department of Pharmacy, Yixing Cancer Hospital, Yixing, China
A Corrigendum on
Machine learning to predict futile recanalization of large vessel occlusion before and after endovascular thrombectomy
by 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. (2022). Front. Neurol. 13:909403. doi: 10.3389/fneur.2022.909403
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.
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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.
Edited and reviewed by: Jean-Claude Baron, University of Cambridge, United Kingdom
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.com; Chun Ge, gechun901020@163.com; Li Tang, 895610324@qq.com
†These authors have contributed equally to this work and share first authorship