Short- and long-term mortality prediction after an acute ST-elevation myocardial infarction (STEMI) in Asians: A machine learning approach

BACKGROUND: Conventional risk score for predicting short and long-term mortality following an ST-segment elevation myocardial infarction (STEMI) is often not population specific. OBJECTIVE: Apply machine learning for the prediction and identification of factors associated with short and long-term mo...

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Detalles Bibliográficos
Autores principales: Aziz, Firdaus, Malek, Sorayya, Ibrahim, Khairul Shafiq, Raja Shariff, Raja Ezman, Wan Ahmad, Wan Azman, Ali, Rosli Mohd, Liu, Kien Ting, Selvaraj, Gunavathy, Kasim, Sazzli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328310/
https://www.ncbi.nlm.nih.gov/pubmed/34339432
http://dx.doi.org/10.1371/journal.pone.0254894

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328310/
https://www.ncbi.nlm.nih.gov/pubmed/34339432
http://dx.doi.org/10.1371/journal.pone.0254894

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