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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |
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