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

Web-based and Mobile Health Interventions (4029) Stroke (244) Machine Learning (2083) Cognitive and Neurorehabilitation (352) Dementia and Cognitive Decline (699) Clinical Information and Decision Making (1927) Decision Support for Health Professionals (1548)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77858, first published .
Development and Validation of a Web-Based Machine Learning Model for Predicting Early Neurological Deterioration Following Stroke Thrombolysis: Multicenter Study

Development and Validation of a Web-Based Machine Learning Model for Predicting Early Neurological Deterioration Following Stroke Thrombolysis: Multicenter Study

Development and Validation of a Web-Based Machine Learning Model for Predicting Early Neurological Deterioration Following Stroke Thrombolysis: Multicenter Study

Authors of this article:

Juan Li1 Author Orcid Image ;   Huanxian Chang2 Author Orcid Image ;   Shouyun Du3 Author Orcid Image ;   Chunyang Zhang1 Author Orcid Image ;   Han Zhang1 Author Orcid Image ;   Luming Li1 Author Orcid Image ;   Lingsheng Kong2 Author Orcid Image ;   Guodong Li3 Author Orcid Image ;   Tingting Liang2 Author Orcid Image ;   Ronghong Yang3 Author Orcid Image ;   Bingchao Xu1 Author Orcid Image ;   Xinyu Zhou1 Author Orcid Image ;   Guanghui Zhang1 Author Orcid Image ;   Yongan Sun1 Author Orcid Image ;   Xiaobing He1 Author Orcid Image ;   Bei Xu1 Author Orcid Image ;   Zaipo Li1 Author Orcid Image ;   Yanan He4 Author Orcid Image ;   Mingli He1 Author Orcid Image
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