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JMIR Dermatology
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September 12, 2025
Characterization of Reddit Posts About Xylazine-Associated Wounds: Qualitative Study
Anthony Spadaro, JaMor Hairston, Sahithi Lakamana, et al.
Computers, Informatics, Nursing : CIN
|
November 29, 2022
Automatic Detection of Twitter Users Who Express Chronic Stress Experiences via Supervised Machine Learning and Natural Language Processing
Yuan-Chi Yang, Angel Xie, Sangmi Kim, et al.
Computers in Biology and Medicine
|
December 8, 2020
Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter
Samah Jamal Fodeh, Mohammed Al-Garadi, Osama Elsankary, et al.
Frontiers in Public Health
|
May 8, 2023
Barriers to opioid use disorder treatment: A comparison of self-reported information from social media with barriers found in literature
Whitney Bremer, Karma Plaisance, Drew Walker, et al.
Journal of Medical Toxicology : Official Journal of the American College of Medical Toxicology
|
January 4, 2020
Buprenorphine Initiation in the Emergency Department: a Thematic Content Analysis of a #firesidetox Tweetchat
Megan Chenworth, Jeanmarie Perrone, Jennifer S Love, et al.
Journal of Addiction Medicine
|
November 7, 2023
Self-reported Xylazine Experiences: A Mixed-methods Study of Reddit Subscribers
Anthony Spadaro, Karen O'Connor, Sahithi Lakamana, et al.
Journal of Biomedical Informatics
|
February 28, 2015
Utilizing social media data for pharmacovigilance: A review
Abeed Sarker, Rachel Ginn, Azadeh Nikfarjam, et al.
Journal of Addiction Medicine
|
May 28, 2026
Development and Validation of an Image-Based Deep Learning Tool for Identification of Xylazine-Associated Wounds
Pranav Sompalle, Abeed Sarker, Jennifer Love, et al.
Harm Reduction Journal
|
May 25, 2022
Signals of increasing co-use of stimulants and opioids from online drug forum data
Abeed Sarker, Mohammed Ali Al-Garadi, Yao Ge, et al.
Journal of the American Medical Informatics Association : JAMIA
|
July 5, 2020
Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource
Abeed Sarker, Sahithi Lakamana, Whitney Hogg-Bremer, et al.
Page
of 12
Search research articles
Search
Showing results (71-80 of 115) with videos related to
Sort By:
Page
of 12
JMIR Dermatology
|
September 12, 2025
Characterization of Reddit Posts About Xylazine-Associated Wounds: Qualitative Study
Anthony Spadaro, JaMor Hairston, Sahithi Lakamana, et al.
Computers, Informatics, Nursing : CIN
|
November 29, 2022
Automatic Detection of Twitter Users Who Express Chronic Stress Experiences via Supervised Machine Learning and Natural Language Processing
Yuan-Chi Yang, Angel Xie, Sangmi Kim, et al.
Computers in Biology and Medicine
|
December 8, 2020
Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter
Samah Jamal Fodeh, Mohammed Al-Garadi, Osama Elsankary, et al.
Frontiers in Public Health
|
May 8, 2023
Barriers to opioid use disorder treatment: A comparison of self-reported information from social media with barriers found in literature
Whitney Bremer, Karma Plaisance, Drew Walker, et al.
Journal of Medical Toxicology : Official Journal of the American College of Medical Toxicology
|
January 4, 2020
Buprenorphine Initiation in the Emergency Department: a Thematic Content Analysis of a #firesidetox Tweetchat
Megan Chenworth, Jeanmarie Perrone, Jennifer S Love, et al.
Journal of Addiction Medicine
|
November 7, 2023
Self-reported Xylazine Experiences: A Mixed-methods Study of Reddit Subscribers
Anthony Spadaro, Karen O'Connor, Sahithi Lakamana, et al.
Journal of Biomedical Informatics
|
February 28, 2015
Utilizing social media data for pharmacovigilance: A review
Abeed Sarker, Rachel Ginn, Azadeh Nikfarjam, et al.
Journal of Addiction Medicine
|
May 28, 2026
Development and Validation of an Image-Based Deep Learning Tool for Identification of Xylazine-Associated Wounds
Pranav Sompalle, Abeed Sarker, Jennifer Love, et al.
Harm Reduction Journal
|
May 25, 2022
Signals of increasing co-use of stimulants and opioids from online drug forum data
Abeed Sarker, Mohammed Ali Al-Garadi, Yao Ge, et al.
Journal of the American Medical Informatics Association : JAMIA
|
July 5, 2020
Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource
Abeed Sarker, Sahithi Lakamana, Whitney Hogg-Bremer, et al.
Page
of 12