Machine Learning Identifies Metabolic Signatures that Predict the Risk of Recurrent Angina in Remitted Patients after Percutaneous Coronary Intervention: A Multicenter Prospective Cohort Study

Recurrent angina (RA) after percutaneous coronary intervention (PCI) has few known risk factors, hampering the identification of high‐risk populations. In this multicenter study, plasma samples are collected from patients with stable angina after PCI, and these patients are followed‐up for 9 months...

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Detalles Bibliográficos
Autores principales: Cui, Song, Li, Li, Zhang, Yongjiang, Lu, Jianwei, Wang, Xiuzhen, Song, Xiantao, Liu, Jinghua, Li, Kefeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Full Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132066/
https://www.ncbi.nlm.nih.gov/pubmed/34026445
http://dx.doi.org/10.1002/advs.202003893

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132066/
https://www.ncbi.nlm.nih.gov/pubmed/34026445
http://dx.doi.org/10.1002/advs.202003893

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