Application of machine learning to predict the occurrence of arrhythmia after acute myocardial infarction

BACKGROUND: Early identification of the occurrence of arrhythmia in patients with acute myocardial infarction plays an essential role in clinical decision-making. The present study attempted to use machine learning (ML) methods to build predictive models of arrhythmia after acute myocardial infarcti...

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Detalles Bibliográficos
Autores principales: Wang, Suhuai, Li, Jingjie, Sun, Lin, Cai, Jianing, Wang, Shihui, Zeng, Linwen, Sun, Shaoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560220/
https://www.ncbi.nlm.nih.gov/pubmed/34724938
http://dx.doi.org/10.1186/s12911-021-01667-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560220/
https://www.ncbi.nlm.nih.gov/pubmed/34724938
http://dx.doi.org/10.1186/s12911-021-01667-8

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