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

Language Processing, Classifiers, and Syndrome Definitions (44)

Published on in Vol 6, No 2 (2014):

Emergency Medical Text Classifier: New system improves processing and classification of triage notes

Emergency Medical Text Classifier: New system improves processing and classification of triage notes

Emergency Medical Text Classifier: New system improves processing and classification of triage notes

Authors of this article:

Stephanie W Haas1 ;   Debbie Travers1 ;   Anna Waller1 ;   Deepika Mahalingam1 ;   John Crouch1 ;   Todd A. Schwartz1 ;   Javed Mostafa1
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (11) Tweetations Metrics

Journals

  1. Radford A, Singleton D, Jewell C, Appleton C, Rowlingson B, Hale A, Cuartero C, Newton R, Sánchez-Vizcaíno F, Greenberg D, Brant B, Bentley E, Stewart J, Smith S, Haldenby S, Noble P, Pinchbeck G. Outbreak of Severe Vomiting in Dogs Associated with a Canine Enteric Coronavirus, United Kingdom. Emerging Infectious Diseases 2021;27(2):517 View
  2. Wang B, Gao Z, Lin Z, Wang R. A Disease-Prediction Protocol Integrating Triage Priority and BERT-Based Transfer Learning for Intelligent Triage. Bioengineering 2023;10(4):420 View
  3. Cronin R, Fabbri D, Denny J, Rosenbloom S, Jackson G. A comparison of rule-based and machine learning approaches for classifying patient portal messages. International Journal of Medical Informatics 2017;105:110 View
  4. MacRae J, Love T, Baker M, Dowell A, Carnachan M, Stubbe M, McBain L. Identifying influenza-like illness presentation from unstructured general practice clinical narrative using a text classifier rule-based expert system versus a clinical expert. BMC Medical Informatics and Decision Making 2015;15(1) View
  5. Bouchouar E, Hetman B, Hanley B. Development and validation of an automated emergency department-based syndromic surveillance system to enhance public health surveillance in Yukon: a lower-resourced and remote setting. BMC Public Health 2021;21(1) View
  6. Berendsen Russell S, Dinh M, Bell N. Triage, damned triage… and statistics: Sorting out redundancy and duplication within an Emergency Department Presenting Problem Code Set to enhance research capacity. Australasian Emergency Nursing Journal 2017;20(1):48 View
  7. Nobles M, Lall R, Mathes R, Neill D. Presyndromic surveillance for improved detection of emerging public health threats. Science Advances 2022;8(44) View
  8. Picard C, Kleib M, Norris C, O'Rourke H, Montgomery C, Douma M. The Use and Structure of Emergency Nurses’ Triage Narrative Data: Scoping Review. JMIR Nursing 2023;6:e41331 View
  9. Khademi S, Palmer C, Javed M, Dimaguila G, Clothier H, Buttery J, Black J. Near Real-Time Syndromic Surveillance of Emergency Department Triage Texts Using Natural Language Processing: Case Study in Febrile Convulsion Detection. JMIR AI 2024;3:e54449 View
  10. Dirmyer V. Using Real-Time Syndromic Surveillance to Analyze the Impact of a Cold Weather Event in New Mexico. Journal of Environmental and Public Health 2018;2018:1 View
  11. Wang H, Alanis N, Haygood L, Swoboda T, Hoot N, Phillips D, Knowles H, Stinson S, Mehta P, Sambamoorthi U. Using natural language processing in emergency medicine health service research: A systematic review and meta‐analysis. Academic Emergency Medicine 2024;31(7):696 View