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Predictive etiological classification of acute ischemic stroke through interpretable machine learning algorithms: a multicenter, prospective cohort study

Crossref DOI link: https://doi.org/10.1186/s12874-024-02331-1

Published Online: 2024-09-10

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

Authors

Chen, Siding

Yang, Xiaomeng

Gu, Hongqiu

Wang, Yanzhao

Xu, Zhe

Jiang, Yong

Wang, Yongjun
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (U20A20358)

the Capital’s Funds for Health Improvement and Research (2020-1-2041)

Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (2019-I2M-5-029)
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Text and Data Mining valid from 2024-09-10

Version of Record valid from 2024-09-10
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Article History

Received: 24 November 2023

Accepted: 5 September 2024

First Online: 10 September 2024

Declarations

:

: This study was approved by the Ethics Committees of Beijing Tiantan Hospital (IRB number: KY2015-001-01). Written informed consent was obtained from all participants or their representatives.

: Not applicable.

: The authors declare no competing interests.

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