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Explainable machine learning model for identifying key risk factors in congenital heart disease prediction using questionnaire data: a retrospective case-control study

Crossref DOI link: https://doi.org/10.1186/s12911-026-03458-5

Published Online: 2026-03-31

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

Authors

Wang, Yunyan

Li, Tiezheng

Chen, Jiajia

Ruan, Jinghua

Shu, Qiang

Xu, Weize

Li, Die
Funding

Funding for this research was provided by:

Key Research and Development Plan of Zhejiang Province (NO.2025C02084)

National Natural Science Foundation of China (82270309)

National Natural Science Foundation of China (82304155)
License Information

Text and Data Mining valid from 2026-03-31

Accepted Manuscript valid from 2026-03-31
More Information

Article History

Received: 25 February 2025

Accepted: 20 March 2026

First Online: 31 March 2026

Declarations

:

: This study was approved by the Ethics Committee of Zhejiang University School of Medicine Children’s Hospital (2023-IRB-0139-P-01).and complies with the ethical principles for medical research of the Declaration of Helsinki. Participants were fully informed about the study and signed an informed consent form before the investigation.

: Not applicable.

: The authors declare no competing interests.

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