Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46857, first published .
Natural Language Processing of Referral Letters for Machine Learning–Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study

Natural Language Processing of Referral Letters for Machine Learning–Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study

Natural Language Processing of Referral Letters for Machine Learning–Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study

Journals

  1. Wang P, Zhang Z, Xie Z, Liu L, Ren G, Guo Z, Xu L, Yin X, Hu Y, Wang Y, Wu X. Natural Language Processing-Driven Artificial Intelligence Models for the Diagnosis of Lumbar Disc Herniation with L5 and S1 Radiculopathy: A Preliminary Evaluation. World Neurosurgery 2024;189:e300 View
  2. Fischer S, Hawley S, Bains A, Carter T. User-Centred Design to Inform Requirements for a Remotely Administered Hybrid Functional Test (RAHFT) Protocol. Journal of Occupational Rehabilitation 2025;35(4):899 View
  3. Maarseveen T, Glas H, Veris-van Dieren J, van den Akker E, Knevel R. Improving musculoskeletal care with AI enhanced triage through data driven screening of referral letters. npj Digital Medicine 2025;8(1) View
  4. Kraft van Ermel L, Noordman J, Brinkkemper S, Schoon Y, van Dulmen S. Methods for investigating electronic health records and patient-provider interaction: A scoping review. International Journal of Medical Informatics 2026;205:106106 View
  5. Lee Qiyu M, Horsaengchai W, Horsaengchai P, Malik Q. Artificial intelligence in clinical allergy practice: current status, challenges, and future directions. Exploration of Asthma & Allergy 2025;3 View
  6. Plummer M, Calvello Hynes E, Fogarty J, Toro Polanco N, Reynolds T. Optimizing people’s movement across the health system: a scoping review of referral systems within a primary health care approach. Primary Health Care Research & Development 2025;26 View

Conference Proceedings

  1. Basha S, Geetha R. 3RD INTERNATIONAL CONFERENCE ON ENGINEERING AND SCIENCE TO ACHIEVE THE SUSTAINABLE DEVELOPMENT GOALS. Optimizing gestational diabetes prediction by comparing cubic k-nearest neighbors with boosted tree View