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Predicting long-term major adverse cardiac events after percutaneous coronary intervention in individuals with acute coronary syndrome and nonvalvular atrial fibrillation: a machine learning study

Crossref DOI link: https://doi.org/10.1186/s12872-026-05778-w

Published Online: 2026-04-24

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

Authors

Wang, Feng-xia

Zhang, Jin-ying

Jia, Li

Dong, Xiang-yu

Wang, Ting

Ke, Xiao-qin

Xu, Zhong-xing

Liu, Yong

Feng, Yan

Zhou, Li-ying
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Text and Data Mining valid from 2026-04-24

Version of Record valid from 2026-06-10
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Article History

Received: 13 November 2025

Accepted: 20 March 2026

First Online: 24 April 2026

Declarations

:

: I confirm that I have read the Editorial Policy pages. This study was conducted with approval from the Ethics Committee of People’s Hospital of Xinjiang Uygur Autonomous Region. This study was conducted in accordance with the declaration of Helsinki. Written informed consent was obtained from all participants.

: Not applicable.

: The authors declare no competing interests.

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