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

Omranian, S., Zolnoori, M., Huang, M., Campos-Castillo, C., & McRoy, S. (2023). 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. JMIR Infodemiology, 3, e37207. https://doi.org/10.2196/37207
Authors:
Samaneh Omranian
Maryam Zolnoori
Ming Huang
Celeste Campos-Castillo
Susan McRoy
Affiliated Authors:
Maryam Zolnoori
Columbia Affiliation:
Author Keywords:
metamap
drug review
machine learning
online forums
opioid treatment, opioid use disorder
patient-generated text
text classification
topic modeling
elink
Publication Type:
Article
Unique ID:
10.2196/37207
PMID:
37113381
DOI:
10.2196/37207
Journal:
JMIR Infodemiology
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

Record Created: