Development and validation of a practical machine-learning triage algorithm for the detection of patients in need of critical care in the emergency department

Identifying critically ill patients is a key challenge in emergency department (ED) triage. Mis-triage errors are still widespread in triage systems around the world. Here, we present a machine learning system (MLS) to assist ED triage officers better recognize critically ill patients and provide a...

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Detalles Bibliográficos
Autores principales: Liu, Yecheng, Gao, Jiandong, Liu, Jihai, Walline, Joseph Harold, Liu, Xiaoying, Zhang, Ting, Wu, Yunyang, Wu, Ji, Zhu, Huadong, Zhu, Weiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674324/
https://www.ncbi.nlm.nih.gov/pubmed/34911945
http://dx.doi.org/10.1038/s41598-021-03104-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674324/
https://www.ncbi.nlm.nih.gov/pubmed/34911945
http://dx.doi.org/10.1038/s41598-021-03104-2

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