Work

Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index

Year: 2017

Type: article

Study design: Observational Study

Source: Annals of Emergency Medicine

DOI: 10.1016/j.annemergmed.2017.08.005

Authors: Scott Levin, Matthew Toerper, Eric Hamrock, Jeremiah S. Hinson, Sean Barnes, Heather Gardner, Andrea Dugas, Bob Linton, Tom Kirsch, Gabor Kelen

Institutions: Johns Hopkins University, University of Maryland, College Park, Uniformed Services University of the Health Sciences

Language: English

Topic: Emergency and Acute Care Studies

Subfield: Emergency Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: Agency for Healthcare Research and Quality

Award: G1859508957

OpenAlex ID: W2752349109

FWCI: 29.52

Cites: 52

Cited by: 424

Related to: 10