Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department

BACKGROUND: Chest pain is among the most common presenting complaints in the emergency department (ED). Swift and accurate risk stratification of chest pain patients in the ED may improve patient outcomes and reduce unnecessary costs. Traditional logistic regression with stepwise variable selection...

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Detalles Bibliográficos
Autores principales: Liu, Nan, Chee, Marcel Lucas, Koh, Zhi Xiong, Leow, Su Li, Ho, Andrew Fu Wah, Guo, Dagang, Ong, Marcus Eng Hock
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052947/
https://www.ncbi.nlm.nih.gov/pubmed/33865317
http://dx.doi.org/10.1186/s12874-021-01265-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052947/
https://www.ncbi.nlm.nih.gov/pubmed/33865317
http://dx.doi.org/10.1186/s12874-021-01265-2

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