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

Participatory Design and Participatory Research (422) Natural Language Processing (923) Digital Biomarkers and Digital Phenotyping (290) Digital Pain Assessment and Management (234) Back Pain (137)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80269, first published .
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

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 Tweetations (3) Metrics

Raquel Norel   1 , PhD ;   Jennifer Gewandter   2 , PhD ;   Zhengwu Zhang   3 , PhD ;   Anika Tahsin   4 , BSc ;   Chadi G Abdallah   5 , MD ;   John Markman   6 , MD ;   Zhiyao Duan   4 , PhD ;   Guillermo Cecchi   1 ;   Paul Geha   4 , MD

1 IBM (United States), Yorktown Heights, NY, United States

2 Department of Anesthesiology and Perioperative Medicine, School of Medicine and Dentistry, University of Rochester, Rochester, NY, United States

3 Department of Statistics and Operations Research, University of North Carolina, Chapel Hill, NC, United States

4 Department of Psychiatry, University of Rochester, Rochester, NY, United States

5 Menninger Department of Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States

6 Eli Lilly (United States), Chestnut Hill, MA, United States

Corresponding Author: