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

Machine Learning (1501) Artificial Intelligence (1421) Clinical Information and Decision Making (1434) Data Science (278) Decision Support for Health Professionals (1210) Natural Language Processing (706)

Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21252, first published .
Patient Triage by Topic Modeling of Referral Letters: Feasibility Study

Patient Triage by Topic Modeling of Referral Letters: Feasibility Study

Patient Triage by Topic Modeling of Referral Letters: Feasibility Study

Authors of this article:

Irena Spasic1 Author Orcid Image ;   Kate Button2 Author Orcid Image
Article Authors Cited by (12) Tweetations (4) Metrics

Journals

  1. Wee C, Zhou X, Sun R, Gururajan R, Tao X, Li Y, Wee N. Triaging Medical Referrals Based on Clinical Prioritisation Criteria Using Machine Learning Techniques. International Journal of Environmental Research and Public Health 2022;19(12):7384 View
  2. Kim M, Noh Y, Yamada A, Hong S. Comparison of the Erectile Dysfunction Drugs Sildenafil and Tadalafil Using Patient Medication Reviews: Topic Modeling Study. JMIR Medical Informatics 2022;10(2):e32689 View
  3. Wee C, Zhou X, Gururajan R, Tao X, Chen J, Gururajan R, Wee N, Barua P. Notice of Removal: Automated Triaging Medical Referral for Otorhinolaryngology Using Data Mining and Machine Learning Techniques. IEEE Access 2022;10:44531 View
  4. Ilicki J, Kakulapati V. Challenges in evaluating the accuracy of AI-containing digital triage systems: A systematic review. PLOS ONE 2022;17(12):e0279636 View
  5. Sanavro S, van der Worp H, Jansen D, Stoffelen J, Schers H, Postma M, Koning P, de Boer M, Janus G, Blanker M. Impact of digital interdisciplinary consultation on secondary care referrals by general practitioners: a protocol for a stepped-wedge cluster randomised controlled trial. BMJ Open 2022;12(12):e060222 View
  6. Aboelkhir H, Elomri A, ElMekkawy T, Kerbache L, Elakkad M, Al-Ansari A, Aboumarzouk O, El Omri A. A Bibliometric Analysis and Visualization of Decision Support Systems for Healthcare Referral Strategies. International Journal of Environmental Research and Public Health 2022;19(24):16952 View
  7. Miok K, Corcoran P, Spasić I. The Value of Numbers in Clinical Text Classification. Machine Learning and Knowledge Extraction 2023;5(3):746 View
  8. Lowin M. A Text-Based Predictive Maintenance Approach for Facility Management Requests Utilizing Association Rule Mining and Large Language Models. Machine Learning and Knowledge Extraction 2024;6(1):233 View
  9. Williams L, Anthi E, Arman L, Burnap P. Topic Modelling: Going beyond Token Outputs. Big Data and Cognitive Computing 2024;8(5):44 View
  10. Bennett V, Spasić I, Filimonov M, Muralidaran V, Kemp A, Allen S, Watkins W. Assessing the Feasibility of Using Parents’ Social Media Conversations to Inform Burn First Aid Interventions: Mixed Methods Study. JMIR Formative Research 2024;8:e48695 View
  11. Walsh J, Cave J, Griffiths F. Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences. Journal of Medical Internet Research 2024;26:e54321 View