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Prediction of large vessel occlusion for ischaemic stroke by using the machine learning model random forests

Jianan Wang, Jungen Zhang, Xiaoxian Gong, Wenhua Zhang, Ying Zhou, Min Lou
DOI: 10.1136/svn-2021-001096 Published 7 July 2022
Jianan Wang
Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital Department of Neurology, Hangzhou, Zhejiang, China
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Jungen Zhang
Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital Department of Neurology, Hangzhou, Zhejiang, China
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Xiaoxian Gong
Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital Department of Neurology, Hangzhou, Zhejiang, China
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Wenhua Zhang
Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital Department of Neurology, Hangzhou, Zhejiang, China
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Ying Zhou
Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital Department of Neurology, Hangzhou, Zhejiang, China
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Min Lou
Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital Department of Neurology, Hangzhou, Zhejiang, China
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Article Information

vol. 7 no. 2
DOI 
https://doi.org/10.1136/svn-2021-001096
PubMed 
34702747

Print ISSN 
2059-8688
Online ISSN 
2059-8696
History 
  • Received May 3, 2021
  • Accepted September 27, 2021
  • Published online July 7, 2022.

Article Versions

  • Previous version (October 26, 2021 - 09:11).
  • You are viewing the most recent version of this article.
Copyright & Usage 
© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

Author Information

  1. Jianan Wang,
  2. Jungen Zhang,
  3. Xiaoxian Gong,
  4. Wenhua Zhang,
  5. Ying Zhou,
  6. Min Lou
  1. Department of Neurology, Zhejiang University School of Medicine Second Affiliated Hospital Department of Neurology, Hangzhou, Zhejiang, China
  1. Correspondence to Dr Min Lou; lm99{at}zju.edu.cn
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Vol 7 Issue 2 Table of Contents
Stroke and Vascular Neurology: 7 (2)
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Prediction of large vessel occlusion for ischaemic stroke by using the machine learning model random forests
Jianan Wang, Jungen Zhang, Xiaoxian Gong, Wenhua Zhang, Ying Zhou, Min Lou
Stroke and Vascular Neurology Apr 2022, 7 (2) e001096; DOI: 10.1136/svn-2021-001096

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Prediction of large vessel occlusion for ischaemic stroke by using the machine learning model random forests
Jianan Wang, Jungen Zhang, Xiaoxian Gong, Wenhua Zhang, Ying Zhou, Min Lou
Stroke and Vascular Neurology Apr 2022, 7 (2) e001096; DOI: 10.1136/svn-2021-001096
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Prediction of large vessel occlusion for ischaemic stroke by using the machine learning model random forests
Jianan Wang, Jungen Zhang, Xiaoxian Gong, Wenhua Zhang, Ying Zhou, Min Lou
Stroke and Vascular Neurology Apr 2022, 7 (2) e001096; DOI: 10.1136/svn-2021-001096
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