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

Substance Abuse (379) Natural Language Processing (637) Machine Learning (1373) Opioid and Related Substance Abuse Crisis (126) Clinical Information and Decision Making (1315)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53366, first published .
Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study

Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study

Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study

Authors of this article:

Melissa N Poulsen1 Author Orcid Image ;   Philip J Freda2 Author Orcid Image ;   Vanessa Troiani3 Author Orcid Image ;   Danielle L Mowery4 Author Orcid Image
Article Authors Cited by Tweetations (5) Metrics

Melissa N Poulsen   1 * , MPH, PhD ;   Philip J Freda   2 * , PhD ;   Vanessa Troiani   3 , PhD ;   Danielle L Mowery   4 , PhD

1 Department of Population Health Sciences, Geisinger, Danville, PA, United States

2 Department of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA, United States

3 Department of Autism and Developmental Medicine, Geisinger, Danville, PA, United States

4 Department of Biostatistics, Epidemiology and Informatics, Institute of Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, United States

*these authors contributed equally

Corresponding Author:

  • Melissa N Poulsen, MPH, PhD
  • Department of Population Health Sciences
  • Geisinger
  • 100 North Academy Avenue
  • Danville, PA, 17822
  • United States
  • Phone: 1 5702149322
  • Email: mpoulsen@geisinger.edu