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

Foundations of AI (47) Artificial Intelligence (1479) 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

Journals

  1. Rahmati K, Brown S, Bledsoe J, Passey P, Taillac P, Youngquist S, Samore M, Hough C, Peltan I. Validation and comparison of triage-based screening strategies for sepsis. The American Journal of Emergency Medicine 2024;85:140 View
  2. Stylianides C, Nicolaou A, Sulaiman W, Alexandropoulou C, Panagiotopoulos I, Karathanasopoulou K, Dimitrakopoulos G, Kleanthous S, Politi E, Ntalaperas D, Papageorgiou X, Garcia F, Antoniou Z, Ioannides N, Palazis L, Vavlitou A, Pattichis M, Pattichis C, Panayides A. AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview. Machine Learning and Knowledge Extraction 2025;7(1):6 View