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

Applications of AI (165) Artificial Intelligence (1676) Foundations of AI (52)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54449, first published .
Near Real-Time Syndromic Surveillance of Emergency Department Triage Texts Using Natural Language Processing: Case Study in Febrile Convulsion Detection

Near Real-Time Syndromic Surveillance of Emergency Department Triage Texts Using Natural Language Processing: Case Study in Febrile Convulsion Detection

Near Real-Time Syndromic Surveillance of Emergency Department Triage Texts Using Natural Language Processing: Case Study in Febrile Convulsion Detection

Authors of this article:

Sedigh Khademi1, 2 Author Orcid Image ;   Christopher Palmer2 Author Orcid Image ;   Muhammad Javed2 Author Orcid Image ;   Gerardo Luis Dimaguila1, 2, 3 Author Orcid Image ;   Hazel Clothier1, 2, 3, 4 Author Orcid Image ;   Jim Buttery1, 2, 3, 5 Author Orcid Image ;   Jim Black4, 6 Author Orcid Image
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Journals

  1. Berikol G, Kanbakan A, Ilhan B, Doğanay F. Mapping artificial intelligence models in emergency medicine: A scoping review on artificial intelligence performance in emergency care and education. Turkish Journal of Emergency Medicine 2025;25(2):67 View