This paper is in the following e-collection/theme issue:

Foundations of AI (47) Artificial Intelligence (1556) AI Data (13)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49784, first published .
Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study

Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study

Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study

Authors of this article:

Felix Brann1 Author Orcid Image ;   Nicholas William Sterling1 Author Orcid Image ;   Stephanie O Frisch1 Author Orcid Image ;   Justin D Schrager1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Felix Brann   1 , BSc ;   Nicholas William Sterling   1 , MD, PhD, MS ;   Stephanie O Frisch   1 , PhD, RN ;   Justin D Schrager   1, 2 , MD, MPH

1 Vital Software, Inc, Claymont, DE, United States

2 Department of Emergency Medicine, Emory University School of Medicine, Atlanta, GA, United States

Corresponding Author:

  • Justin D Schrager, MD, MPH
  • Department of Emergency Medicine
  • Emory University School of Medicine
  • 531 Asbury Circle
  • Annex Building N340
  • Atlanta, GA, 30322
  • United States
  • Phone: 1 404 778 5975
  • Email: justin@vitaler.com