Deep‐learning approaches to identify critically Ill patients at emergency department triage using limited information

Deep‐learning approaches to identify critically Ill patients at emergency department triage using limited information

Abstract Study objective Triage quickly identifies critically ill patients, facilitating timely interventions. Many emergency departments (EDs) use emergency severity index (ESI) or abnormal vital sign triggers to guide triage. However, both use fixed thresholds, and false activations are costly. Pr...

Full description

Saved in:
Bibliographic Details
Main Authors: Joshua W. Joseph, Evan L. Leventhal, Anne V. Grossestreuer, Matthew L. Wong, Loren J. Joseph, Larry A. Nathanson, Michael W. Donnino, Noémie Elhadad, Leon D. Sanchez
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Journal of the American College of Emergency Physicians Open
Subjects:
clinical decision rules
critical care
deep learning
machine learning
operations
triage
Online Access:https://doi.org/10.1002/emp2.12218
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/emp2.12218

Similar Items