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

Formative Evaluation of Digital Health Interventions (3395) Clinical Information and Decision Making (2035) Electronic Health Records (1364) Clinical Informatics (1410) Machine Learning (2199) Tools, Programs and Algorithms (402) Decision Support for Health Professionals (1612) Back Pain (143)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63198, first published .
Automated Annotation of Pain Chronicity in Patients With Back Pain by Using Electronic Health Records: Retrospective Study

Automated Annotation of Pain Chronicity in Patients With Back Pain by Using Electronic Health Records: Retrospective Study

Automated Annotation of Pain Chronicity in Patients With Back Pain by Using Electronic Health Records: Retrospective Study

Authors of this article:

Simran Ajay Kanal1 Author Orcid Image ;   Jeannie Bailey2 Author Orcid Image ;   Jeffrey Lotz2 Author Orcid Image ;   Aaron Scheffler1 Author Orcid Image ;   Thomas Peterson2, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Simran Ajay Kanal   1 , MS ;   Jeannie Bailey   2 , PhD ;   Jeffrey Lotz   2 , PhD ;   Aaron Scheffler   1 , MS, PhD ;   Thomas Peterson   2, 3 , PhD

1 Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States

2 Department of Orthopedic Surgery, University of California, San Francisco, San Francisco, CA, United States

3 Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States

Corresponding Author:

  • Thomas Peterson, PhD
  • Department of Orthopedic Surgery
  • University of California, San Francisco
  • 1500 Owens St
  • San Francisco, CA
  • United States
  • Phone: 1 415-514-0528
  • Email: thomas.peterson@ucsf.edu