Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index.
Document Type
Journal Article
Publication Date
5-1-2018
Journal
Annals of emergency medicine
Volume
71
Issue
5
Inclusive Pages
205-210
DOI
10.1097/TA.0000000000001732
Keywords
Adult; Algorithms; Area Under Curve; Cross-Sectional Studies; Emergency Service, Hospital; Female; Humans; Machine Learning; Male; Retrospective Studies; Triage; United States; Vital Signs
APA Citation
Levin, S., Toerper, M., Hamrock, E., Hinson, J., Barnes, S., Gardner, H., Dugas, A., Linton, B., Kirsch, T., & Kelen, G. (2018). Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index.. Annals of emergency medicine, 71 (5). http://dx.doi.org/10.1097/TA.0000000000001732
Peer Reviewed
1
