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Sex-specific machine learning models for cardiovascular disease risk prediction in adults aged ≥ 80 years: insights from the Chinese longitudinal healthy longevity survey

Crossref DOI link: https://doi.org/10.1186/s12877-025-06676-0

Published Online: 2025-11-28

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

Authors

Jiang, Hui

Li, Ye
Funding

Funding for this research was provided by:

Shenzhen Science and Technology Innovation Program (CJGJZD20220517142000002)
License Information

Text and Data Mining valid from 2025-11-28

Version of Record valid from 2025-12-30
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Article History

Received: 16 April 2025

Accepted: 23 October 2025

First Online: 28 November 2025

Declarations

:

: Not applicable.

: Ethical approvals were obtained from the Biomedical Ethics Committee, Peking University (IRB00001052–13074) and the Institutional Review Board, Duke University (Pro00062871). Written informed consent was obtained from all participants or their proxy respondents.

: The authors declare no competing interests.

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