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An interpretable machine learning model for early risk stratification of medium-to-giant coronary artery aneurysm in Kawasaki disease: development and external validation

Crossref DOI link: https://doi.org/10.1038/s41390-026-04878-9

Published Online: 2026-03-23

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

Authors

He, Ying

Dong, Jinfeng

Lin, Fan

Zhang, Jiaying

Zheng, Xin

Chen, Qiaobin

Li, Jing

Ma, Shurong

Li, Lizhi

Huang, Hongbiao
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Text and Data Mining valid from 2026-03-23

Version of Record valid from 2026-03-23
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Article History

Received: 28 October 2025

Revised: 13 January 2026

Accepted: 21 January 2026

First Online: 23 March 2026

Competing interests

: The authors declare no competing interests.

: This study was conducted in accordance with the principles of the Declaration of Helsinki (2024 version). The study protocol was approved by the Ethics Committee of Fuzhou University Affiliated Provincial Hospital (Approval No. K2025-10-002) and the Ethics Committee of the Children’s Hospital of Soochow University (Approval No. 2023CS244) through an expedited review process. Given the retrospective design and use of de-identified data, the requirement for informed consent was waived by both institutional review boards.

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