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Development of an explainable machine learning model for 3-year cardiovascular risk prediction in new-onset type 2 diabetes using the TyG index and ultrasound features

Crossref DOI link: https://doi.org/10.1186/s12911-025-03247-6

Published Online: 2025-11-04

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

Authors

Jiang, Zhen-zhen

Jiang, Yan-feng

Wang, Yue

Zhou, Ying

Peng, Rong-li

Ma, Cai-ye

Liu, Xia-tian
Funding

Funding for this research was provided by:

Zhejiang Provincial Natural Science Foundation of China (LKLY25H180009)

Zhejiang Medical Health Science and Technology Program (2024KY468)

Zhejiang Medical Health Science and Technology Program (2023KY1258)

Shaoxing Medical Key Discipline (2019SZD05)
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Text and Data Mining valid from 2025-11-04

Version of Record valid from 2025-11-04
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Article History

Received: 4 August 2025

Accepted: 13 October 2025

First Online: 4 November 2025

Declarations

:

: The research adhered to the principles of the Declaration of Helsinki (as revised in 2013). The study protocol was reviewed and approved by the by the Institutional Review Board of Shaoxing People’s Hospital. Informed written consent to participate was waived by the IRB given the retrospective nature of the work.

: Not applicable.

: The authors declare no competing interests.

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