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

Participatory Design and Participatory Research (537) Natural Language Processing (1312) Back Pain (172) Digital Biomarkers and Digital Phenotyping (453) Digital Pain Assessment and Management (325)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80269, first published .
Woman with red hair clutching her throat in distress

Turning Patients’ Open-Ended Narratives of Chronic Pain Into Quantitative Measures: Natural Language Processing Study

Turning Patients’ Open-Ended Narratives of Chronic Pain Into Quantitative Measures: Natural Language Processing Study

Authors of this article:

Raquel Norel1 Author Orcid Image ;   Jennifer Gewandter2 Author Orcid Image ;   Zhengwu Zhang3 Author Orcid Image ;   Anika Tahsin4 Author Orcid Image ;   Chadi G Abdallah5 Author Orcid Image ;   John Markman6 Author Orcid Image ;   Zhiyao Duan4 Author Orcid Image ;   Guillermo Cecchi1 Author Orcid Image ;   Paul Geha4 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Rajwal S, Bozkurt S, Perrone J, McKenzie-Brown A, Sarker A. A scoping review of applications of natural language processing for chronic pain research. Discover Artificial Intelligence 2026;6(1) View
  2. Okui N, Ichino K, Ide H, Matsushita K, Ikehata Y, Okui M, Horie S. Pain-centered symptom-language co-occurrence networks differ between interstitial cystitis/bladder pain syndrome and fibromyalgia in Reddit patient discourse. Scientific Reports 2026;16(1) View