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Author Details

Karen O'Connor
Perelman School of Medicine, University of Pennsylvania
2014
48
12
PMIDPaper TitleJournal TitlePublished Year
37503241Patient-Related Metadata Reported in Sequencing Studies of SARS-CoV-2: Protocol for a Scoping Review and Bibliometric Analysis.medRxiv2024
37995049Patient-Reported Reasons for Antihypertensive Medication Change: A Quantitative Study Using Social Media.Drug Saf2024
35089104Healthcare Workers Beliefs about COVID-19; a Longitudinal, Mixed Methods Analysis.Psychol Health Med2023
37577535Text mining biomedical literature to identify extremely unbalanced data for digital epidemiology and systematic reviews: dataset and methods for a SARS-CoV-2 genomic epidemiology study.medRxiv2023
37934533Self-reported Xylazine Experiences: A Mixed-methods Study of Reddit Subscribers.J Addict Med2023
37531158The Role of Social Media for Identifying Adverse Drug Events Data in Pharmacovigilance: Protocol for a Scoping Review.JMIR Res Protoc2023
36993695Self-reported Xylazine Experiences: A Mixed Methods Study of Reddit Subscribers.medRxiv2023
37459097Reasons for Discontinuation or Change of Selective Serotonin Reuptake Inhibitors in Online Drug Reviews.JAMA Netw Open2023
37443040ChatGPT and large language models in academia: opportunities and challenges.BioData Min2023
37399062Automatically Identifying Self-Reports of COVID-19 Diagnosis on Twitter: An Annotated Data Set, Deep Neural Network Classifiers, and a Large-Scale Cohort.J Med Internet Res2023
36734300Automatic Extraction of Medication Mentions from Tweets-Overview of the BioCreative VII Shared Task 3 Competition.Database (Oxford)2023
36757756Pregex: Rule-Based Detection and Extraction of Twitter Data in Pregnancy.J Med Internet Res2023
34864788Thematic Analysis of Reddit Content About Buprenorphine-naloxone Using Manual Annotation and Natural Language Processing Techniques.J Addict Med2022
35771614Using Twitter Data for Cohort Studies of Drug Safety in Pregnancy: Proof-of-concept With β-Blockers.JMIR Form Res2022
35468092Toward Using Twitter for PrEP-Related Interventions: An Automated Natural Language Processing Pipeline for Identifying Gay or Bisexual Men in the United States.JMIR Public Health Surveill2022
35574580A chronological and geographical analysis of personal reports of COVID-19 on Twitter from the UK.Digit Health2022
35854738Automatic Cohort Determination from Twitter for HIV Prevention amongst Black and Hispanic Men.AMIA Jt Summits Transl Sci Proc2022
35562851Best Practices on Big Data Analytics to Address Sex-Specific Biases in Our Understanding of the Etiology, Diagnosis, and Prognosis of Diseases.Annu Rev Biomed Data Sci2022
35486433Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review.J Med Internet Res2022
36112408Automatically Identifying Twitter Users for Interventions to Support Dementia Family Caregivers: Annotated Data Set and Benchmark Classification Models.JMIR Aging2022
35933649Patient-Reported Reasons for Switching or Discontinuing Statin Therapy: A Mixed Methods Study Using Social Media.Drug Saf2022
33594374SEED: Symptom Extraction from English Social Media Posts using Deep Learning and Transfer Learning.medRxiv2022
34870607Toward Using Twitter Data to Monitor COVID-19 Vaccine Safety in Pregnancy: Proof-of-Concept Study of Cohort Identification.JMIR Form Res2022
33001380A Comparative View of Reported Adverse Effects of Statins in Social Media, Regulatory Data, Drug Information Databases and Systematic Reviews.Drug Saf2021
33499852Text classification models for the automatic detection of nonmedical prescription medication use from social media.BMC Med Inform Decis Mak2021
33496671Public Perspectives on Anti-Diabetic Drugs: Exploratory Analysis of Twitter Posts.JMIR Diabetes2021
34613417Active neural networks to detect mentions of changes to medication treatment in social media.J Am Med Inform Assoc2021
34067724Displacement, Violence, and Mental Health: Evidence from Rohingya Adolescents in Cox's Bazar, Bangladesh.Int J Environ Res Public Health2021
33449904Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set.J Med Internet Res2021
33449353Correction to: A Comparative View of Reported Adverse Effects of Statins in Social Media, Regulatory Data, Drug Information Databases and Systematic Reviews.Drug Saf2021
32287266Pregnancy and health in the age of the Internet: A content analysis of online "birth club" forums.PLoS One2020
32634878An empirical evaluation of electronic annotation tools for Twitter data.Genomics Inform2020
32683454GeoBoost2: a natural languageprocessing pipeline for GenBank metadata enrichment for virus phylogeography.Bioinformatics2020
32511608A Chronological and Geographical Analysis of Personal Reports of COVID-19 on Twitter.medRxiv2020
32130117Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines.J Med Internet Res2020
30284214Pharmacoepidemiologic Evaluation of Birth Defects from Health-Related Postings in Social Media During Pregnancy.Drug Saf2019
31258961An Analysis of a Twitter Corpus for Training a Medication Intake Classifier.AMIA Jt Summits Transl Sci Proc2019
31562510Deep neural networks ensemble for detecting medication mentions in tweets.J Am Med Inform Assoc2019
30838129Incorporating sampling uncertainty in the geospatial assignment of taxa for virus phylogeography.Virus Evol2019
29240889GeoBoost: accelerating research involving the geospatial metadata of virus GenBank records.Bioinformatics2018
30167992Methods to Compare Adverse Events in Twitter to FAERS, Drug Information Databases, and Systematic Reviews: Proof of Concept with Adalimumab.Drug Saf2018
29218914Advances in Text Mining and Visualization for Precision Medicine.Pac Symp Biocomput2018
29063568Capturing the Patient's Perspective: a Review of Advances in Natural Language Processing of Health-Related Text.Yearb Med Inform2017
26776215FINDING POTENTIALLY UNSAFE NUTRITIONAL SUPPLEMENTS FROM USER REVIEWS WITH TOPIC MODELING.Pac Symp Biocomput2016
26748505Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter.Drug Saf2016
25755127Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features.J Am Med Inform Assoc2015
25720841Utilizing social media data for pharmacovigilance: A review.J Biomed Inform2015
25954400Pharmacovigilance on twitter? Mining tweets for adverse drug reactions.AMIA Annu Symp Proc2014
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Collaborators

Cedars-Sinai Medical Center
Co-authored papers 38
Emory University
Co-authored papers 14
Noakhali Science and Technology University
Co-authored papers 3
Perelman School of Medicine at the University of Pennsylvania
Co-authored papers 1
Co-authored papers 1
Boston Children's Hospital, Harvard Medical School.
Co-authored papers 1
Mayo Clinic
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Co-authored papers 1
Dartmouth College Geisel School of Medicine, Princeton University, University of Colorado Anschutz Medical Campus, University of Pennsylvania Perelman School of Medicine
Co-authored papers 1
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University of California los angeles
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Cedars-Sinai Medical Center
Co-authored papers 1
Georgia State University
Co-authored papers 1
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