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Development of a nomogram with machine learning-assisted feature selection for predicting left atrial appendage thrombosis and severe spontaneous echo contrast in patients with non-paroxysmal atrial fibrillation

Crossref DOI link: https://doi.org/10.1186/s12872-026-05805-w

Published Online: 2026-04-10

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

Authors

Wang, Heng

Fan, Jiali

Zhou, Bingyuan

Ma, Changsheng
Funding

Funding for this research was provided by:

Suzhou Municipal Health Commission (DZXYJ202302)
License Information

Text and Data Mining valid from 2026-04-10

Version of Record valid from 2026-05-27
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Article History

Received: 15 December 2025

Accepted: 27 March 2026

First Online: 10 April 2026

Declarations

:

: This study was approved by the Ethics Committee of the First Affiliated Hospital of Soochow University (No. 20251032). The requirement for written informed consent was waived by the committee due to the retrospective nature of the study. The study was conducted in accordance with the Declaration of Helsinki.

: Not applicable.

: The authors declare no competing interests.

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