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

Infoveillance and Social Listening (257) Substance Abuse (474) Opioid and Related Substance Misuse (175) Machine Learning (1769) Natural Language Processing (809) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1089) Infodemiology and Infoveillance (1468)

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 (3) Tweetations (2) Metrics

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