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Author Details

Abeed Sarker
Emory University
2012
76
17
PMIDPaper TitleJournal TitlePublished Year
36445331Automatic Detection of Twitter Users Who Express Chronic Stress Experiences via Supervised Machine Learning and Natural Language Processing.Comput Inform Nurs2023
37808542An aspect-level sentiment analysis dataset for therapies on Twitter.Data Brief2023
37488023Few-shot learning for medical text: A review of advances, trends, and opportunities.J Biomed Inform2023
37986776Overview of the 8<sup>th</sup> Social Media Mining for Health Applications (#SMM4H) Shared Tasks at the AMIA 2023 Annual Symposium.medRxiv2023
37934533Self-reported Xylazine Experiences: A Mixed-methods Study of Reddit Subscribers.J Addict Med2023
37680768A framework for multi-faceted content analysis of social media chatter regarding non-medical use of prescription medications.BMC Digit Health2023
37921866Public Perceptions About Monkeypox on Twitter: Thematic Analysis.JMIR Form Res2023
35656732Recruitment and retention in mobile application-based intervention studies: a critical synopsis of challenges and opportunities.Inform Health Soc Care2023
36993695Self-reported Xylazine Experiences: A Mixed Methods Study of Reddit Subscribers.medRxiv2023
37351791Automatic Detection of Intimate Partner Violence Victims from Social Media for Proactive Delivery of Support.AMIA Jt Summits Transl Sci Proc2023
37350878Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media.AMIA Jt Summits Transl Sci Proc2023
37151596Barriers to opioid use disorder treatment: A comparison of self-reported information from social media with barriers found in literature.Front Public Health2023
37345821Supervised Text Classification System Detects Fontan Patients in Electronic Records With Higher Accuracy Than <i>ICD</i> Codes.J Am Heart Assoc2023
37014024An analysis of cannabinoid hyperemesis syndrome Reddit posts and themes.Clin Toxicol (Phila)2023
37113382The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection.JMIR Infodemiology2023
37102576Characteristics of Intimate Partner Violence and Survivor's Needs During the COVID-19 Pandemic: Insights From Subreddits Related to Intimate Partner Violence.J Interpers Violence2023
36787355Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter?Proc Natl Acad Sci U S A2023
34864788Thematic Analysis of Reddit Content About Buprenorphine-naloxone Using Manual Annotation and Natural Language Processing Techniques.J Addict Med2022
37621877Large-Scale Social Media Analysis Reveals Emotions Associated with Nonmedical Prescription Drug Use.Health Data Sci2022
37641590A comparison of few-shot and traditional named entity recognition models for medical text.IEEE Int Conf Healthc Inform2022
35614501Signals of increasing co-use of stimulants and opioids from online drug forum data.Harm Reduct J2022
35854749Tracking the COVID-19 outbreak in India through Twitter: Opportunities for social media based global pandemic surveillance.AMIA Jt Summits Transl Sci Proc2022
37006948Natural language model for automatic identification of Intimate Partner Violence reports from Twitter.Array (N Y)2022
36421593The Role of Natural Language Processing during the COVID-19 Pandemic: Health Applications, Opportunities, and Challenges.Healthcare (Basel)2022
36011135Comparison of Pretraining Models and Strategies for Health-Related Social Media Text Classification.Healthcare (Basel)2022
36342855Evidence of the emergence of illicit benzodiazepines from online drug forums.Eur J Public Health2022
35248103Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts.Subst Abuse Treat Prev Policy2022
35119337Reddit discussions about buprenorphine associated precipitated withdrawal in the era of fentanyl.Clin Toxicol (Phila)2022
32835641Assessing perceptions about medications for opioid use disorder and Naloxone on Twitter.J Addict Dis2021
33821724Methadone and suboxone<sup>®</sup> mentions on twitter: thematic and sentiment analysis.Clin Toxicol (Phila)2021
33499852Text classification models for the automatic detection of nonmedical prescription medication use from social media.BMC Med Inform Decis Mak2021
34965602A Data-Driven Iterative Approach for Semi-automatically Assessing the Correctness of Medication Value Sets: A Proof of Concept Based on Opioids.Methods Inf Med2021
34581670Defining Patient-Oriented Natural Language Processing: A New Paradigm for Research and Development to Facilitate Adoption and Use by Medical Experts.JMIR Med Inform2021
34485849Mining long-COVID symptoms from Reddit: characterizing post-COVID syndrome from patient reports.JAMIA Open2021
33938807Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid.J Med Internet Res2021
34169232Automatic gender detection in Twitter profiles for health-related cohort studies.JAMIA Open2021
33244602LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts.Bioinformatics2021
33290931Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter.Comput Biol Med2021
31584645Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework.J Am Med Inform Assoc2020
34713057A Light-Weight Text Summarization System for Fast Access to Medical Evidence.Front Digit Health2020
31898154Buprenorphine Initiation in the Emergency Department: a Thematic Content Analysis of a #firesidetox Tweetchat.J Med Toxicol2020
32804085Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach.J Med Internet Res2020
32620975Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource.J Am Med Inform Assoc2020
32477632Towards Automatic Bot Detection in Twitter for Health-related Tasks.AMIA Jt Summits Transl Sci Proc2020
32130117Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines.J Med Internet Res2020
31087070Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts".J Am Med Inform Assoc2019
31693125Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter.JAMA Netw Open2019
31437940Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods.Stud Health Technol Inform2019
31583284Towards scaling Twitter for digital epidemiology of birth defects.NPJ Digit Med2019
31258961An Analysis of a Twitter Corpus for Training a Medication Intake Classifier.AMIA Jt Summits Transl Sci Proc2019
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Collaborators

Cedars-Sinai Medical Center
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Perelman School of Medicine, University of Pennsylvania
Co-authored papers 14
University of Turku
Co-authored papers 1
Emory University Division of Cardiology Atlanta Georgia USA.
Co-authored papers 1
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Co-authored papers 1
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University of Turku
Co-authored papers 1
Emory University School of Medicine
Co-authored papers 1
Noakhali Science and Technology University
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College of Medicine, University of Kentucky
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VA Connecticut Healthcare System
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Boston Children's Hospital, Harvard Medical School.
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Mayo Clinic
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Dartmouth College Geisel School of Medicine, Princeton University, University of Colorado Anschutz Medical Campus, University of Pennsylvania Perelman School of Medicine
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University of Turku
Co-authored papers 1
Rollins School of Public Health Emory University Atlanta GA.
Co-authored papers 1