Machine learning to predict no reflow and in-hospital mortality in patients with ST-segment elevation myocardial infarction that underwent primary percutaneous coronary intervention

BACKGROUND: The machine learning algorithm (MLA) was implemented to establish an optimal model to predict the no reflow (NR) process and in-hospital death that occurred in ST-elevation myocardial infarction (STEMI) patients who underwent primary percutaneous coronary intervention (pPCI). METHODS: Th...

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Detalles Bibliográficos
Autores principales: Deng, Lianxiang, Zhao, Xianming, Su, Xiaolin, Zhou, Mei, Huang, Daizheng, Zeng, Xiaocong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036765/
https://www.ncbi.nlm.nih.gov/pubmed/35462531
http://dx.doi.org/10.1186/s12911-022-01853-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036765/
https://www.ncbi.nlm.nih.gov/pubmed/35462531
http://dx.doi.org/10.1186/s12911-022-01853-2

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