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

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 teac...

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Bibliographic Details
Main Authors: Horng, Steven, Halpern, Yoni, Jernite, Yacine, Shapiro, Nathan I., Nathanson, Larry A., Sontag, David Alexander
Other Authors: Institute for Medical Engineering and Science
Format: Article
Language:en_US
Published: Public Library of Science 2017
Online Access:http://hdl.handle.net/1721.1/109959
https://orcid.org/0000-0002-5034-7796

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http://hdl.handle.net/1721.1/109959
https://orcid.org/0000-0002-5034-7796

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