Prediction of adverse cardiac events in emergency department patients with chest pain using machine learning for variable selection

BACKGROUND: The key aim of triage in chest pain patients is to identify those with high risk of adverse cardiac events as they require intensive monitoring and early intervention. In this study, we aim to discover the most relevant variables for risk prediction of major adverse cardiac events (MACE)...

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Detalles Bibliográficos
Autores principales: Liu, Nan, Koh, Zhi Xiong, Goh, Junyang, Lin, Zhiping, Haaland, Benjamin, Ting, Boon Ping, Ong, Marcus Eng Hock
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150554/
https://www.ncbi.nlm.nih.gov/pubmed/25150702
http://dx.doi.org/10.1186/1472-6947-14-75

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150554/
https://www.ncbi.nlm.nih.gov/pubmed/25150702
http://dx.doi.org/10.1186/1472-6947-14-75

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