Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning

OBJECTIVE: To demonstrate the incremental benefit of using free text data in addition to vital sign and demographic data to identify patients with suspected infection in the emergency department. METHODS: This was a retrospective, observational cohort study performed at a tertiary academic teaching...

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Detalles Bibliográficos
Autores principales: Horng, Steven, Sontag, David A., Halpern, Yoni, Jernite, Yacine, Shapiro, Nathan I., Nathanson, Larry A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5383046/
https://www.ncbi.nlm.nih.gov/pubmed/28384212
http://dx.doi.org/10.1371/journal.pone.0174708

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5383046/
https://www.ncbi.nlm.nih.gov/pubmed/28384212
http://dx.doi.org/10.1371/journal.pone.0174708

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