Predicting the risk of subclinical atherosclerosis based on interpretable machine models in a Chinese T2DM population.

Authors:
Tusongtuoheti X; Shu Y; Huang G; Mao Y.

Journal:
Front Endocrinol (Lausanne)

Publication Year: 2024

DOI:
10.3389/fendo.2024.1332982

PMCID:
PMC10929018

PMID:
38476673

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Journal Information

Journal Title: Front Endocrinol (Lausanne)

Detailed journal information not available.

Publication Details

Subject Category: Endocrinology & Metabolism

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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3/6

50.0% Transparent

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Evidence found in paper:

"Conflict of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest."

Funding Disclosure

Evidence found in paper:

"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This project was supported by the Ningbo Natural Science Foundation (2018A610248 and 2022J233), Ningbo Medical and Health Leading Academic Discipline Project (2022-F24), Zhejiang Medicine and Health Technology Project (2018ZH029 and 2020KY871), Major Project for Science and Technology Innovation 2025 (2019B10035), Ningbo Social Development (2019C50080), and Ningbo Social Welfare Research (2022S047)."

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Open Access

Paper is freely available to read

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Last Updated: Aug 05, 2025