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Development and validation of an interpretable machine learning model for predicting the risk of coronary heart disease risk in diabetes mellitus patients: a dual-center retrospective study

Crossref DOI link: https://doi.org/10.1186/s12911-026-03461-w

Published Online: 2026-04-21

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

Authors

Kuang, Ye

Yu, Yan

Li, Jing

Peng, Chuanmei

Ji, Yong

Tian, Jinrong

Chen, Sulian

Wang, Jia

Feng, Lei
License Information

Text and Data Mining valid from 2026-04-21

Accepted Manuscript valid from 2026-04-21
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Article History

Received: 21 August 2025

Accepted: 24 March 2026

First Online: 21 April 2026

Declarations

:

: This study protocol complies with the guidelines of the Declaration of Helsinki and was approved by the Ethics Committee of the Sixth Affiliated Hospital of Kunming Medical University (China, trial registration number: 2022-kmykdx6f-90) and Yan’an Hospital Affiliated to Kunming Medical University (China, trial registration number: 2022–026–01). All participants provided written consent after being fully informed.

: Not applicable.

: The authors declare no competing interests.

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