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Journal of Medical Internet Research
|
May 3, 2021
Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Whitney Bremer, et al.
Journal of Addictive Diseases
|
August 25, 2020
Assessing perceptions about medications for opioid use disorder and Naloxone on Twitter
Babak Tofighi, Omar El Shahawy, Andrew Segoshi, et al.
Medrxiv : the Preprint Server for Health Sciences
|
March 30, 2023
Self-reported Xylazine Experiences: A Mixed Methods Study of Reddit Subscribers
Anthony Spadaro, Karen O' Connor, Sahithi Lakamana, et al.
Journal of the American Medical Informatics Association : JAMIA
|
December 26, 2024
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation
Andrew Walker, Annie Thorne, Sudeshna Das, et al.
JMIR Medical Informatics
|
September 28, 2021
Defining Patient-Oriented Natural Language Processing: A New Paradigm for Research and Development to Facilitate Adoption and Use by Medical Experts
Abeed Sarker, Mohammed Ali Al-Garadi, Yuan-Chi Yang, et al.
Array (New York, N.Y.)
|
April 3, 2023
Natural language model for automatic identification of Intimate Partner Violence reports from Twitter
Mohammed Ali Al-Garadi, Sangmi Kim, Yuting Guo, et al.
Substance Use & Misuse
|
April 2, 2026
Comparing Risk Profiles of Nicotine Pouch and Smokeless Tobacco Use in U.S. Adolescents: A Machine Learning Analysis
Dae-Hee Han, Alyssa F Harlow, Adam M Leventhal, et al.
Clinical Toxicology (Philadelphia, Pa.)
|
February 4, 2022
Reddit discussions about buprenorphine associated precipitated withdrawal in the era of fentanyl
Anthony Spadaro, Abeed Sarker, Whitney Hogg-Bremer, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
February 14, 2023
Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter?
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S Love, et al.
JMIR Infodemiology
|
July 7, 2026
Self-Reported Tianeptine Experiences on Reddit: Natural Language Processing-Assisted Qualitative Study
Christopher J Counts, Anthony V Spadaro, Sahithi Lakamana, et al.
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of 12
Search research articles
Search
Showing results (81-90 of 115) with videos related to
Sort By:
Page
of 12
Journal of Medical Internet Research
|
May 3, 2021
Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Whitney Bremer, et al.
Journal of Addictive Diseases
|
August 25, 2020
Assessing perceptions about medications for opioid use disorder and Naloxone on Twitter
Babak Tofighi, Omar El Shahawy, Andrew Segoshi, et al.
Medrxiv : the Preprint Server for Health Sciences
|
March 30, 2023
Self-reported Xylazine Experiences: A Mixed Methods Study of Reddit Subscribers
Anthony Spadaro, Karen O' Connor, Sahithi Lakamana, et al.
Journal of the American Medical Informatics Association : JAMIA
|
December 26, 2024
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation
Andrew Walker, Annie Thorne, Sudeshna Das, et al.
JMIR Medical Informatics
|
September 28, 2021
Defining Patient-Oriented Natural Language Processing: A New Paradigm for Research and Development to Facilitate Adoption and Use by Medical Experts
Abeed Sarker, Mohammed Ali Al-Garadi, Yuan-Chi Yang, et al.
Array (New York, N.Y.)
|
April 3, 2023
Natural language model for automatic identification of Intimate Partner Violence reports from Twitter
Mohammed Ali Al-Garadi, Sangmi Kim, Yuting Guo, et al.
Substance Use & Misuse
|
April 2, 2026
Comparing Risk Profiles of Nicotine Pouch and Smokeless Tobacco Use in U.S. Adolescents: A Machine Learning Analysis
Dae-Hee Han, Alyssa F Harlow, Adam M Leventhal, et al.
Clinical Toxicology (Philadelphia, Pa.)
|
February 4, 2022
Reddit discussions about buprenorphine associated precipitated withdrawal in the era of fentanyl
Anthony Spadaro, Abeed Sarker, Whitney Hogg-Bremer, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
February 14, 2023
Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter?
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S Love, et al.
JMIR Infodemiology
|
July 7, 2026
Self-Reported Tianeptine Experiences on Reddit: Natural Language Processing-Assisted Qualitative Study
Christopher J Counts, Anthony V Spadaro, Sahithi Lakamana, et al.
Page
of 12