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

Infoveillance and Social Listening (214) Substance Abuse (428) Opioid and Related Substance Misuse (149) Machine Learning (1501) Natural Language Processing (706) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369)

Published on in Vol 3 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37207, first published .
Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social Media

Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social Media

Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social Media

Authors of this article:

Samaneh Omranian1 Author Orcid Image ;   Maryam Zolnoori2 Author Orcid Image ;   Ming Huang3 Author Orcid Image ;   Celeste Campos-Castillo4 Author Orcid Image ;   Susan McRoy1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Samaneh Omranian   1 , MSc ;   Maryam Zolnoori   2 , PhD ;   Ming Huang   3 , PhD ;   Celeste Campos-Castillo   4 , PhD ;   Susan McRoy   1 , PhD

1 Department of Electrical Engineering and Computer Science, College of Engineering & Applied Science, University of Wisconsin-Milwaukee, Milwaukee, WI, United States

2 School of Nursing, Columbia University, New York, NY, United States

3 Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, United States

4 Department of Media and Information, Michigan State University, East Lansing, MI, United States

Corresponding Author:

  • Samaneh Omranian, MSc
  • Department of Electrical Engineering and Computer Science
  • College of Engineering & Applied Science
  • University of Wisconsin-Milwaukee
  • 3200 N Cramer St
  • Milwaukee, WI, 53211
  • United States
  • Phone: 1 414-229-4000
  • Email: omranian@uwm.edu