Social Media Text Mining Framework for Drug Abuse: Development and Validation Study With an Opioid Crisis Case Analysis
BackgroundSocial media are considered promising and viable sources of data for gaining insights into various disease conditions and patients' attitudes, behaviors, and medications. They can be used to recognize communication and behavioral themes of problematic use of prescription drugs. Howeve...
Saved in:
Main Authors: | Nasralah, Tareq (Author), El-Gayar, Omar (Author), Wang, Yong (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2020-08-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mining Physicians' Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis
by: Wahbeh, Abdullah, et al.
Published: (2020) -
Public Discourse Against Masks in the COVID-19 Era: Infodemiology Study of Twitter Data
by: Al-Ramahi, Mohammad, et al.
Published: (2021) -
Toward an Ethical Framework for the Text Mining of Social Media for Health Research: A Systematic Review
by: Elizabeth Ford, et al.
Published: (2021) -
The opioid crisis: a contextual, social-ecological framework
by: Mohammad S. Jalali, et al.
Published: (2020) -
Opioid Crisis
by: Simrat Kaur Sarai, et al.
Published: (2017)