Exploration and analysis of risk factors for coronary artery disease with type 2 diabetes based on SHAP explainable machine learning algorithm

Exploration and analysis of risk factors for coronary artery disease with type 2 diabetes based on SHAP explainable machine learning algorithm

Abstract T2DM is a major risk factor for CHD. In recent years, machine learning algorithms have demonstrated significant advantages in improving predictive accuracy; however, studies applying these methods for clinical prediction and diagnosis of CHD-DM2 remain limited. This study aims to evaluate t...

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Bibliographic Details
Main Authors: Dandan Tang, Fengwei Liang, Xingli Gu, Yuanyuan Jin, Xuanjie Hu, Fen Liu, Yining Yang
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Coronary heart disease combined with type 2 diabetes
Machine learning
SHAP
Imbalance processing
Online Access:https://doi.org/10.1038/s41598-025-11142-3
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https://doi.org/10.1038/s41598-025-11142-3

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