Machine learning to predict futile recanalization of large vessel occlusion before and after endovascular thrombectomy
CORRECTION article
Corrigendum: Machine learning to predict futile recanalization of large vessel occlusion before and after endovascular thrombectomy
Provisionally accepted- 1 Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University;, Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China, China
- 2 School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Liaoning Province, China
- 3 Department of Neurology, Nanjing Yuhua Hospital, Yuhua Branch of Nanjing First Hospital, Nanjing Medical University, Nanjing, Liaoning Province, China
- 4 Department of Pharmacy, Nanjing First Hospital, Nanjing, China, Nanjing, Liaoning Province, China
- 5 Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China
- 6 Department of Pharmacy, Cancer Hospital, Chongqing University, Chongqing, China
Keywords: futile recanalization, machine learning, Large vessel occlusion, Endovascular thrombectomy, predictive model
Received: 20 Sep 2024; Accepted: 26 Sep 2024.
Copyright: © 2024 Zou, 心萍, Zheng, Zhang, Cui, Zou, Zhao, Pan, Jie, Wu, Qiu, Zhou, Chen, Tang and Ge. 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) or licensor 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, Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University;, Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China, China
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