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Predicting 30-day mortality of patients with pneumonia in an emergency department setting using machine-learning models
OBJECTIVE: This study aimed to confirm the accuracy of a machine-learning-based model in predicting the 30-day mortality of patients with pneumonia and evaluating whether they were required to be admitted to the intensive care unit (ICU). METHODS: The study conducted a retrospective analysis of pneu...
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| Wydane w: | Clin Exp Emerg Med |
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| Główni autorzy: | , , , , , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
The Korean Society of Emergency Medicine
2020
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7550804/ https://ncbi.nlm.nih.gov/pubmed/33028063 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.15441/ceem.19.052 |
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