Benchmarking emergency department prediction models with machine learning and public electronic health records

The demand for emergency department (ED) services is increasing across the globe, particularly during the current COVID-19 pandemic. Clinical triage and risk assessment have become increasingly challenging due to the shortage of medical resources and the strain on hospital infrastructure caused by t...

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Detalles Bibliográficos
Autores principales: Xie, Feng, Zhou, Jun, Lee, Jin Wee, Tan, Mingrui, Li, Siqi, Rajnthern, Logasan S/O, Chee, Marcel Lucas, Chakraborty, Bibhas, Wong, An-Kwok Ian, Dagan, Alon, Ong, Marcus Eng Hock, Gao, Fei, Liu, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Analysis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610299/
https://www.ncbi.nlm.nih.gov/pubmed/36302776
http://dx.doi.org/10.1038/s41597-022-01782-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9610299/
https://www.ncbi.nlm.nih.gov/pubmed/36302776
http://dx.doi.org/10.1038/s41597-022-01782-9

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