This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1561) Machine Learning (2084) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (87) Digital Health Reviews (1731)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71654, first published .
Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis

Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis

Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis

Authors of this article:

Benqiao Wang1 Author Orcid Image ;   Bohao Jiang2 Author Orcid Image ;   Dan Liu1 Author Orcid Image ;   Ruixia Zhu1 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Benqiao Wang   1 * , MM ;   Bohao Jiang   2 * , MM ;   Dan Liu   1 , MM ;   Ruixia Zhu   1 , MD

1 Department of Neurology, First Hospital of China Medical University, Shenyang, China

2 Department of Urology, First Hospital of China Medical University, Shenyang, China

*these authors contributed equally

Corresponding Author:

  • Ruixia Zhu, MD
  • Department of Neurology
  • First Hospital of China Medical University
  • No 155 Nanjing Bei Street
  • Heping District
  • Shenyang 110001
  • China
  • Phone: 86 13504035936
  • Email: zrx_200626313@163.com