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

Natural Language Processing (473) Digital Pain Assessment and Management (101) Electronic Health Records (753) Ontologies, Classifications, and Coding (158)

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 Carlson 1 Author Orcid Image ;   Molly M Jeffery 2 Author Orcid Image ;   Sunyang Fu 1 Author Orcid Image ;   Huan He 1 Author Orcid Image ;   Rozalina G McCoy 3 Author Orcid Image ;   Yanshan Wang 1 Author Orcid Image ;   William Michael Hooten 4 Author Orcid Image ;   Jennifer St Sauver 5 Author Orcid Image ;   Hongfang Liu 1 Author Orcid Image ;   Jungwei Fan 1 Author Orcid Image
Article Authors Cited by Tweetations (3) 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 , US

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

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

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

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

*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
  • US
  • Phone: 1 5075381191
  • Email: fan.jung-wei@mayo.edu