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A machine learning-based approach for the prediction of periprocedural myocardial infarction by using routine data

BACKGROUND: Periprocedural myocardial infarction (PMI) after percutaneous coronary intervention (PCI) is associated with the bad prognosis in patients. Current approaches to predict PMI fail to identify many people who would benefit from preventive treatment, and machine learning (ML) offers opportu...

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Dades bibliogràfiques
Publicat a:Cardiovasc Diagn Ther
Autors principals: Wang, Yao, Zhu, Kangjun, Li, Ya, Lv, Qingbo, Fu, Guosheng, Zhang, Wenbin
Format: Artigo
Idioma:Inglês
Publicat: AME Publishing Company 2020
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7666922/
https://ncbi.nlm.nih.gov/pubmed/33224755
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/cdt-20-551
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