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Prospective evaluation of an automated method to identify patients with severe sepsis or septic shock in the emergency department
BACKGROUND: Sepsis is an often-fatal syndrome resulting from severe infection. Rapid identification and treatment are critical for septic patients. We therefore developed a probabilistic model to identify septic patients in the emergency department (ED). We aimed to produce a model that identifies 8...
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| Publicat a: | BMC Emerg Med |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2016
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4994262/ https://ncbi.nlm.nih.gov/pubmed/27549755 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12873-016-0095-0 |
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