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

Natural Language Processing (692) Digital Pain Assessment and Management (164) Electronic Health Records (1053) Ontologies, Classifications, and Coding (239)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18659, first published .
Characterizing Chronic Pain Episodes in Clinical Text at Two Health Care Systems: Comprehensive Annotation and Corpus Analysis

Characterizing Chronic Pain Episodes in Clinical Text at Two Health Care Systems: Comprehensive Annotation and Corpus Analysis

Characterizing Chronic Pain Episodes in Clinical Text at Two Health Care Systems: Comprehensive Annotation and Corpus Analysis

Authors of this article:

Luke A Carlson1 Author Orcid Image ;   Molly M Jeffery2 Author Orcid Image ;   Sunyang Fu1 Author Orcid Image ;   Huan He1 Author Orcid Image ;   Rozalina G McCoy3 Author Orcid Image ;   Yanshan Wang1 Author Orcid Image ;   William Michael Hooten4 Author Orcid Image ;   Jennifer St Sauver5 Author Orcid Image ;   Hongfang Liu1 Author Orcid Image ;   Jungwei Fan1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Luke A Carlson   1 * , BA ;   Molly M Jeffery   2 * , PhD ;   Sunyang Fu   1 , MHI ;   Huan He   1 , PhD ;   Rozalina G McCoy   3 , MD, MSc ;   Yanshan Wang   1 , PhD ;   William Michael Hooten   4 , MD ;   Jennifer St Sauver   5 , PhD ;   Hongfang Liu   1 , PhD ;   Jungwei Fan   1 , PhD

1 Division of Digital Health Sciences, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States

2 Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States

3 Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, United States

4 Division of Pain Medicine, Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, United States

5 Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States

*these authors contributed equally

Corresponding Author:

  • Jungwei Fan, PhD
  • Division of Digital Health Sciences
  • Department of Health Sciences Research
  • Mayo Clinic
  • 200 First Street SW
  • Rochester, MN, 55905
  • United States
  • Phone: 1 5075381191
  • Email: fan.jung-wei@mayo.edu