TyG-ABSI as a novel metabolic obesity indicator for carotid plaque: an explainable machine learning study using SHAP in low-income population

Abstract Background This investigation aimed to evaluate the relationship between a combined triglyceride-glucose (TyG)–adiposity index and carotid plaque within a low-income rural cohort, and to apply machine-learning models alongside SHapley Additive exPlanations (SHAP) for detailed interpretation...

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Hauptverfasser:	Juan Hao, Ran Chen, Diliyaer Abudukeremu, Xiao Li, Yiwei Zhang, Lifeng Wang, Chenxi Fan, Chunsheng Yang, Xianjia Ning, Jinghua Wang, Yan Li
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	BMC 2025-12-01
Schriftenreihe:	BMC Endocrine Disorders
Schlagworte:	Carotid plaque TyG-ABSI Machine learning Rural population
Online-Zugang:	https://doi.org/10.1186/s12902-025-02099-5
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