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Prediction of the short-term prognosis of acute ischaemic stroke in patients with high treatment platelet reactivity using explainable machine learning

Crossref DOI link: https://doi.org/10.1038/s41598-025-20763-7

Published Online: 2025-10-21

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Liu, Jiaming

Gu, Yumeng

Wang, Dongliang

Xia, Xiaoshuang

Li, Xin
Funding

Funding for this research was provided by:

Cerebrovascular Disease Youth Innovation Fund of China International Medical Foundation (Z-2016-20-2101-09)

Tianjin Municipal Science and Technology Bureau Project (21JCZDJC01230)

the Key Projects of Tianjin Municipal Health Commission (TJWJ2023XK007)

the Tianjin Key Medical Discipline (Specialty) Construction Project (TJYXZDXK065B)

National Natural Science Foundation of China (42275197)

the Tianjin Center for Health and Meteorology Multidisciplinary Innovation
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Text and Data Mining valid from 2025-10-21

Version of Record valid from 2025-10-21
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Article History

Received: 24 July 2024

Accepted: 16 September 2025

First Online: 21 October 2025

Declarations

:

: The authors declare no competing interests.

: This study was conducted according to the guidelines of the Declaration of Helsinki and was approved by the Ethics Committee of the Second Hospital of Tianjin Medical University (Approval No.KY2020K142). In addition, the data were completely anonymized, and due to the retrospective use of anonymized data, a decision has been made by the Ethics Committee of the Second Hospital of Tianjin Medical University to waive the requirement for obtaining signed consent.

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