Proteomic signatures and machine learning based-prediction models for cardiovascular risk in survivors of myocardial infarction

Abstract Background Survivors of myocardial infarction (MI) are still at risk for adverse long-term outcomes such as all-cause mortality, heart failure (HF), and ischemic stroke (IS) after acute phase treatment. Aims This study aimed to identify specific protein markers and construct risk prediction...

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Detalhes bibliográficos

Principais autores:	Shizhen Xiang, Yuge Ye, Xi Cao, Huidan Zeng, Yunlong Guan, Siyu Zhu, Xiangjing Liu, Da Luo, Yifan Kong, Zhonghe Shao, Bofang Zhang, Xingjie Hao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2026-01-01
Colecção:	BMC Cardiovascular Disorders
Assuntos:	Myocardial infarction Proteomics Association study Prediction model Machine learning
Acesso em linha:	https://doi.org/10.1186/s12872-025-05487-w
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