Using machine learning tools to predict outcomes for emergency department intensive care unit patients

The number of critically ill patients has increased globally along with the rise in emergency visits. Mortality prediction for critical patients is vital for emergency care, which affects the distribution of emergency resources. Traditional scoring systems are designed for all emergency patients usi...

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Detalles Bibliográficos
Autores principales: Zhai, Qiangrong, Lin, Zi, Ge, Hongxia, Liang, Yang, Li, Nan, Ma, Qingbian, Ye, Chuyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708467/
https://www.ncbi.nlm.nih.gov/pubmed/33262471
http://dx.doi.org/10.1038/s41598-020-77548-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708467/
https://www.ncbi.nlm.nih.gov/pubmed/33262471
http://dx.doi.org/10.1038/s41598-020-77548-3

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