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Profile

Md Sarker

  • Department of Biomedical Informatics
    Associate Professor
  • (404) 712-0055
  • abeed.sarker@emory.edu
  • Lab
  • Website
  • Emory University
    Biomedical Informatics
    101 Woodruff Circle, Office 4101
Head shot of Md Sarker

Overview

I am an Associate Professor in Biomedical Informatics at Emory University School of Medicine. I also serve as the Vice Chair for Research at the department.

My research interests lie at the intersection of natural language processing (NLP), applied machine learning, public health and medicine. In particular, I am interested in building end-to-end systems that can convert big natural language data into valuable and actionable knowledge.

Over the last several years, my research has focused very heavily on social media data. Social media, due to its high adoption in the population, presents us with the unique opportunity to conduct population-level health studies and curate knowledge in near real time. At the same time the characteristics of social media posts such as noise, misspellings and non-standard language present exciting challenges for NLP and machine learning. I am the Principal Investigator (PI) of a NIDA-NIH funded grant titled: Mining Social Media Big Data for Toxicovigilance: Automating the Monitoring of Prescription Medication Abuse via NLP and ML Methods (R01DA046619). The goal is to develop methods that can effectively utilize the vast amounts of data about prescription medication abuse, including opioid abuse, that is publicly available via social media to better understand and characterize the problem.

I am also currently directing or contributing to several projects involving text from distinct domains such as electronic health records, social media and published medical literature.

I believe in reproducible and community-driven research, and always try to publicly publish my code. I frequently run specialized workshops on NLP, SMM and applied ML to teach/train researchers and students from a wide spectrum of educational backgrounds.

I am available (and typically enthusiastic) to work on new, challenging projects, run specialized workshops, or talk about potential applications of NLP and applied ML using big and small data. Feel free to contact me via email.

More details at:
https://abeedsarker.com/
https://sarkerlab.org/

Academic Appointment

  • Associate Professor, Biomedical Informatics, Emory University

Education

Degrees

  • PhD from Macquarie University
  • Honours (Traditional Australian) from Macquarie University
  • Bachelors from Macquarie University

Research

Publications

  • Risk Factors for Adverse Outcomes in a Fontan Population.
    Pediatr Cardiol
    06/06/2025 Authors: Licitra G; Ivey LC; Raskind-Hood CL; Rodriguez FH; Guo Y; Sarker A; Book WM
  • Building community through data: the value of a researcher driven open science ecosystem.
    Pain Med Volume: 26 Page(s): 295 - 298
    06/01/2025 Authors: Adams MCB; Bann CM; Bayman EO; Chao M; Hergenroeder GW; Knott C; Lindquist MA; Luo ZD; Martin R; Martone ME
  • The Digital Narrative: Chronic Pain Self-Management Insights from Reddit in Systemic Lupus Erythematosus.
    Volume: 323 Page(s): 483 - 485
    04/08/2025 Authors: Bozkurt S; Walker A; Park T; Le N; Sarker A; Irani A; Falasinnu T
  • HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models

    03/06/2025 Authors: Ge Y; Guo Y; Das S; Rajwal S; Bozkurt S; Sarker A
  • Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records.
    Birth Defects Res Volume: 117 Page(s): e2451
    03/01/2025 Authors: Guo Y; Shi H; Book WM; Ivey LC; Rodriguez FH; Sameni R; Raskind-Hood C; Robichaux C; Downing KF; Sarker A
  • Large Language Models in Healthcare

    02/06/2025 Authors: Al-Garadi M; Mungle T; Ahmed A; Sarker A; Miao Z; Matheny ME
  • CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation.
    J Am Med Inform Assoc Volume: 32 Page(s): 365 - 374
    02/01/2025 Authors: Walker A; Thorne A; Das S; Love J; Cooper HLF; Livingston M; Sarker A
  • Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review.
    JMIR Res Protoc Volume: 14 Page(s): e66094
    01/21/2025 Authors: Rajwal S; Zhang Z; Chen Y; Rogers H; Sarker A; Xiao Y
  • Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study.
    J Med Internet Res Volume: 27 Page(s): e66220
    01/06/2025 Authors: Das S; Ge Y; Guo Y; Rajwal S; Hairston J; Powell J; Walker D; Peddireddy S; Lakamana S; Bozkurt S
  • "I Been Taking Adderall Mixing it With Lean, Hope I Don't Wake Up Out My Sleep": Harnessing Twitter to Understand Nonmedical Prescription Stimulant Use among Black Women and Men Subscribers.

    12/05/2024 Authors: Webster J-L; Lakamana S; Ge Y; Sarker A
  • MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction.
    J Biomed Inform Volume: 160 Page(s): 104744
    12/01/2024 Authors: Dai X; Karimi S; Sarker A; Hachey B; Paris C
  • Evaluating large language models for health-related text classification tasks with public social media data.
    J Am Med Inform Assoc Volume: 31 Page(s): 2181 - 2189
    10/01/2024 Authors: Guo Y; Ovadje A; Al-Garadi MA; Sarker A
  • Natural Language Processing for Digital Health in the Era of Large Language Models.
    Yearb Med Inform Volume: 33 Page(s): 229 - 240
    08/01/2024 Authors: Sarker A; Zhang R; Wang Y; Xiao Y; Das S; Schutte D; Oniani D; Xie Q; Xu H
  • Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters.
    Volume: 2024 Page(s): 1 - 4
    07/01/2024 Authors: Mousavi SS; Guo Y; Robichaux C; Sarker A; Sameni R
  • Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study

    05/29/2024 Authors: Das S; Ge Y; Guo Y; Rajwal S; Hairston J; Powell J; Walker D; Peddireddy S; Lakamana S; Bozkurt S
  • Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: Observational Study Using Natural Language Processing Analysis.
    JMIR Ment Health Volume: 11 Page(s): e53730
    05/02/2024 Authors: Das S; Walker D; Rajwal S; Lakamana S; Sumner SA; Mack KA; Kaczkowski W; Sarker A
  • Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium.
    J Am Med Inform Assoc Volume: 31 Page(s): 991 - 996
    04/03/2024 Authors: Klein AZ; Banda JM; Guo Y; Schmidt AL; Xu D; Flores Amaro I; Rodriguez-Esteban R; Sarker A; Gonzalez-Hernandez G
  • A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records.
    Headache Volume: 64 Page(s): 400 - 409
    04/01/2024 Authors: Chiang C-C; Luo M; Dumkrieger G; Trivedi S; Chen Y-C; Chao C-J; Schwedt TJ; Sarker A; Banerjee I
  • Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing

    02/26/2024 Authors: Kobara S; Rafiei A; Nateghi M; Bozkurt S; Kamaleswaran R; Sarker A
  • Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters

    02/02/2024 Authors: Mousavi SS; Guo Y; Sarker A; Sameni R
  • Leveraging Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literature

    02/02/2024 Authors: Guo Y; Mousavi SS; Sameni R; Sarker A
  • Detection of Medication Mentions and Medication Change Events in Clinical Notes Using Transformer-Based Models.
    Stud Health Technol Inform Volume: 310 Page(s): 685 - 689
    01/25/2024 Authors: Guo Y; Ge Y; Sarker A
  • Data Augmentation with Nearest Neighbor Classifier for Few-Shot Named Entity Recognition.
    Stud Health Technol Inform Volume: 310 Page(s): 690 - 694
    01/25/2024 Authors: Ge Y; Al-Garadi MA; Sarker A
  • Area-level Measures of the Social Environment: Operationalization, Pitfalls, and Ways Forward.
    Curr Top Behav Neurosci Volume: 68 Page(s): 277 - 296
    01/01/2024 Authors: Helbich M; Zeng Y; Sarker A
  • Correction to: Area-level Measures of the Social Environment: Operationalization, Pitfalls, and Ways Forward.
    Curr Top Behav Neurosci Volume: 68 Page(s): C1
    01/01/2024 Authors: Helbich M; Zeng Y; Sarker A
  • Overview of the 8th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at the AMIA 2023 Annual Symposium.
    medRxiv
    11/08/2023 Authors: Klein AZ; Banda JM; Guo Y; Schmidt AL; Xu D; Amaro JIF; Rodriguez-Esteban R; Sarker A; Gonzalez-Hernandez G
  • Public Perceptions About Monkeypox on Twitter: Thematic Analysis.
    JMIR Form Res Volume: 7 Page(s): e48710
    11/03/2023 Authors: Leslie A; Okunromade O; Sarker A
  • Self-reported Xylazine Experiences: A Mixed-methods Study of Reddit Subscribers.
    J Addict Med Volume: 17 Page(s): 691 - 694
    11/01/2023 Authors: Spadaro A; O'Connor K; Lakamana S; Sarker A; Wightman R; Love JS; Perrone J
  • A Large Language Model-Based Generative Natural Language Processing Framework Finetuned on Clinical Notes Accurately Extracts Headache Frequency from Electronic Health Records.
    medRxiv
    10/03/2023 Authors: Chiang C-C; Luo M; Dumkrieger G; Trivedi S; Chen Y-C; Chao C-J; Schwedt TJ; Sarker A; Banerjee I
  • An aspect-level sentiment analysis dataset for therapies on Twitter.
    Data Brief Volume: 50 Page(s): 109618
    10/01/2023 Authors: Guo Y; Das S; Lakamana S; Sarker A
  • Automatic Detection of Twitter Users Who Express Chronic Stress Experiences via Supervised Machine Learning and Natural Language Processing.
    Comput Inform Nurs Volume: 41 Page(s): 717 - 724
    09/01/2023 Authors: Yang Y-C; Xie A; Kim S; Hair J; Al-Garadi M; Sarker A
  • Characteristics of Intimate Partner Violence and Survivor's Needs During the COVID-19 Pandemic: Insights From Subreddits Related to Intimate Partner Violence.
    J Interpers Violence Volume: 38 Page(s): 9693 - 9716
    09/01/2023 Authors: Kim S; Warren E; Jahangir T; Al-Garadi M; Guo Y; Yang Y-C; Lakamana S; Sarker A
  • Self-reported Xylazine Experiences: A Mixed-methods Study of Reddit Subscribers.
    J Addict Med
    08/10/2023 Authors: Spadaro A; O'Connor K; Lakamana S; Sarker A; Wightman R; Love JS; Perrone J
  • Few-shot learning for medical text: A review of advances, trends, and opportunities.
    J Biomed Inform Volume: 144 Page(s): 104458
    08/01/2023 Authors: Ge Y; Guo Y; Das S; Al-Garadi MA; Sarker A
  • Supervised Text Classification System Detects Fontan Patients in Electronic Records With Higher Accuracy Than ICD Codes.
    J Am Heart Assoc Volume: 12 Page(s): e030046
    07/04/2023 Authors: Guo Y; Al-Garadi MA; Book WM; Ivey LC; Rodriguez FH; Raskind-Hood CL; Robichaux C; Sarker A
  • Self-reported xylazine exposure and experiences: a mixed methods study of Reddit users
    Volume: 61 Page(s): 19 - 19
    04/28/2023 Authors: Spadaro A; Perrone J; Sahithi L; O'Connor K; Wightman R; Love J; Sarker A
  • Recruitment and retention in mobile application-based intervention studies: a critical synopsis of challenges and opportunities.
    Inform Health Soc Care Volume: 48 Page(s): 139 - 152
    04/03/2023 Authors: Bremer W; Sarker A
  • An analysis of cannabinoid hyperemesis syndrome Reddit posts and themes.
    Clin Toxicol (Phila) Volume: 61 Page(s): 283 - 289
    04/01/2023 Authors: Wightman RS; Perrone J; Collins AB; Lakamana S; Sarker A
  • Self-reported Xylazine Experiences: A Mixed Methods Study of Reddit Subscribers.
    medRxiv
    03/14/2023 Authors: Spadaro A; Connor KO; Lakamana S; Sarker A; Wightman R; Love JS; Perrone J
  • Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter?
    Proc Natl Acad Sci U S A Volume: 120 Page(s): e2207391120
    02/21/2023 Authors: Yang Y-C; Al-Garadi MA; Love JS; Cooper HLF; Perrone J; Sarker A
  • #ChronicPain: Automated Building of a Chronic Pain Cohort from Twitter Using Machine Learning.
    Health Data Sci Volume: 3
    01/01/2023 Authors: Sarker A; Lakamana S; Guo Y; Ge Y; Leslie A; Okunromade O; Gonzalez-Polledo E; Perrone J; McKenzie-Brown AM
  • A framework for multi-faceted content analysis of social media chatter regarding non-medical use of prescription medications.
    BMC Digit Health Volume: 1
    01/01/2023 Authors: Raza S; Schwartz B; Lakamana S; Ge Y; Sarker A
  • Automatic Detection of Intimate Partner Violence Victims from Social Media for Proactive Delivery of Support.
    AMIA Jt Summits Transl Sci Proc Volume: 2023 Page(s): 254 - 260
    01/01/2023 Authors: Guo Y; Kim S; Warren E; Yang Y-C; Lakamana S; Sarker A
  • Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media.
    AMIA Jt Summits Transl Sci Proc Volume: 2023 Page(s): 261 - 270
    01/01/2023 Authors: Guo Y; Rajwal S; Lakamana S; Chiang C-C; Menell PC; Shahid AH; Pharm D Y-CC; Chhabra N; Chao W-J; Chao C-J
  • Barriers to opioid use disorder treatment: A comparison of self-reported information from social media with barriers found in literature.
    Front Public Health Volume: 11 Page(s): 1141093
    01/01/2023 Authors: Bremer W; Plaisance K; Walker D; Bonn M; Love JS; Perrone J; Sarker A
  • The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection.
    JMIR Infodemiology Volume: 3 Page(s): e43694
    01/01/2023 Authors: Sarker A; Lakamana S; Liao R; Abbas A; Yang Y-C; Al-Garadi M
  • Can adverse childhood experiences predict chronic health conditions? Development of trauma-informed, explainable machine learning models.
    Front Public Health Volume: 11 Page(s): 1309490
    01/01/2023 Authors: Afzal HB; Jahangir T; Mei Y; Madden A; Sarker A; Kim S
  • Evidence of the emergence of illicit benzodiazepines from online drug forums.
    Eur J Public Health Volume: 32 Page(s): 939 - 941
    11/29/2022 Authors: Sarker A; Al-Garadi MA; Ge Y; Nataraj N; McGlone L; Jones CM; Sumner SA
  • Social media mining for toxicovigilance of prescription medications: End-to-end pipeline, challenges and future work

    11/18/2022 Authors: Sarker A
  • The Role of Natural Language Processing during the COVID-19 Pandemic: Health Applications, Opportunities, and Challenges.
    Healthcare (Basel) Volume: 10
    11/12/2022 Authors: Al-Garadi MA; Yang Y-C; Sarker A
  • Natural language model for automatic identification of Intimate Partner Violence reports from Twitter.
    Array (N Y) Volume: 15
    09/01/2022 Authors: Al-Garadi MA; Kim S; Guo Y; Warren E; Yang Y-C; Lakamana S; Sarker A
  • Comparison of Pretraining Models and Strategies for Health-Related Social Media Text Classification.
    Healthcare (Basel) Volume: 10
    08/05/2022 Authors: Guo Y; Ge Y; Yang Y-C; Al-Garadi MA; Sarker A
  • Thematic Analysis of Reddit Content About Buprenorphine-naloxone Using Manual Annotation and Natural Language Processing Techniques.
    J Addict Med Volume: 16 Page(s): 454 - 460
    07/01/2022 Authors: Graves RL; Perrone J; Al-Garadi MA; Yang Y-C; Love J; O'Connor K; Gonzalez-Hernandez G; Sarker A
  • A comparison of few-shot and traditional named entity recognition models for medical text.
    Volume: 2022 Page(s): 84 - 89
    06/01/2022 Authors: Ge Y; Guo Y; Yang Y-C; Al-Garadi MA; Sarker A
  • Building a social media platform for surveillance and support of intimate partner violence and its victims during COVID-19 and beyond: Preliminary findings
    Volume: 78 Page(s): 26 - 27
    06/01/2022 Authors: Kim S; Al-Garadi M; Guo Y; Warren E; Stephenson K; Yang Y-C; Sarker A
  • Reddit discussions about buprenorphine associated precipitated withdrawal in the era of fentanyl.
    Clin Toxicol (Phila) Volume: 60 Page(s): 694 - 701
    06/01/2022 Authors: Spadaro A; Sarker A; Hogg-Bremer W; Love JS; O'Donnell N; Nelson LS; Perrone J
  • Signals of increasing co-use of stimulants and opioids from online drug forum data.
    Harm Reduct J Volume: 19 Page(s): 51
    05/25/2022 Authors: Sarker A; Al-Garadi MA; Ge Y; Nataraj N; Jones CM; Sumner SA
  • Few-shot learning for medical text: A systematic review

    04/21/2022 Authors: Ge Y; Guo Y; Yang Y-C; Al-Garadi MA; Sarker A
  • Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts.
    Subst Abuse Treat Prev Policy Volume: 17 Page(s): 16
    03/05/2022 Authors: Sarker A; Nataraj N; Siu W; Li S; Jones CM; Sumner SA
  • Large-Scale Social Media Analysis Reveals Emotions Associated with Nonmedical Prescription Drug Use.
    Health Data Sci Volume: 2022
    01/01/2022 Authors: Al-Garadi MA; Yang Y-C; Guo Y; Kim S; Love JS; Perrone J; Sarker A
  • Tracking the COVID-19 outbreak in India through Twitter: Opportunities for social media based global pandemic surveillance.
    AMIA Jt Summits Transl Sci Proc Volume: 2022 Page(s): 313 - 322
    01/01/2022 Authors: Lakamana S; Yang Y-C; Al-Garadi MA; Sarker A
  • A Data-Driven Iterative Approach for Semi-automatically Assessing the Correctness of Medication Value Sets: A Proof of Concept Based on Opioids.
    Methods Inf Med Volume: 60 Page(s): e111 - e119
    12/01/2021 Authors: Li L; Grando A; Sarker A
  • Methadone and suboxone mentions on twitter: thematic and sentiment analysis.
    Clin Toxicol (Phila) Volume: 59 Page(s): 982 - 991
    11/01/2021 Authors: Chenworth M; Perrone J; Love JS; Graves R; Hogg-Bremer W; Sarker A
  • Defining Patient-Oriented Natural Language Processing: A New Paradigm for Research and Development to Facilitate Adoption and Use by Medical Experts.
    JMIR Med Inform Volume: 9 Page(s): e18471
    09/28/2021 Authors: Sarker A; Al-Garadi MA; Yang Y-C; Choi J; Quyyumi AA; Martin GS
  • LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts.
    Bioinformatics Volume: 37 Page(s): 2499 - 2501
    08/25/2021 Authors: Sarker A
  • Mining long-COVID symptoms from Reddit: characterizing post-COVID syndrome from patient reports.
    JAMIA Open Volume: 4 Page(s): ooab075
    07/01/2021 Authors: Sarker A; Ge Y
  • Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid.
    J Med Internet Res Volume: 23 Page(s): e26616
    05/03/2021 Authors: Yang Y-C; Al-Garadi MA; Bremer W; Zhu JM; Grande D; Sarker A
  • Automatic gender detection in Twitter profiles for health-related cohort studies.
    JAMIA Open Volume: 4 Page(s): ooab042
    04/01/2021 Authors: Yang Y-C; Al-Garadi MA; Love JS; Perrone J; Sarker A
  • Public and Political Opinion on Medicaid: A Twitter Analysis

    03/01/2021 Authors: Zhu J; Gollust S; Yang Y-C; Sarker MH; Grande D
  • Utilizing a multi-class classification approach to detect therapeutic and recreational misuse of opioids on Twitter.
    Comput Biol Med Volume: 129 Page(s): 104132
    02/01/2021 Authors: Fodeh SJ; Al-Garadi M; Elsankary O; Perrone J; Becker W; Sarker A
  • Text classification models for the automatic detection of nonmedical prescription medication use from social media.
    BMC Med Inform Decis Mak Volume: 21 Page(s): 27
    01/26/2021 Authors: Al-Garadi MA; Yang Y-C; Cai H; Ruan Y; O'Connor K; Graciela G-H; Perrone J; Sarker A
  • Assessing perceptions about medications for opioid use disorder and Naloxone on Twitter.
    J Addict Dis Volume: 39 Page(s): 37 - 45
    01/01/2021 Authors: Tofighi B; El Shahawy O; Segoshi A; Moreno KP; Badiei B; Sarker A; Krawczyk N
  • Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification
    Page(s): 388 - 393
    11/19/2020 Authors: Guo Y; Al-Garadi MA; Sarker MH
  • Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach.
    J Med Internet Res Volume: 22 Page(s): e18401
    08/17/2020 Authors: Zhu JM; Sarker A; Gollust S; Merchant R; Grande D
  • Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource.
    J Am Med Inform Assoc Volume: 27 Page(s): 1310 - 1315
    08/01/2020 Authors: Sarker A; Lakamana S; Hogg-Bremer W; Xie A; Al-Garadi MA; Yang Y-C
  • Buprenorphine Initiation in the Emergency Department: a Thematic Content Analysis of a #firesidetox Tweetchat.
    J Med Toxicol Volume: 16 Page(s): 262 - 268
    07/01/2020 Authors: Chenworth M; Perrone J; Love JS; Greller HA; Sarker A; Chai PR
  • Mining and analysis of opioid content in longitudinal data posted in a social media forum
    Volume: 58 Page(s): 571 - 571
    06/02/2020 Authors: Sarker A; Deroos F; Gonzalez-Hernandez G; O'Connor K; Perrone J
  • Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines.
    J Med Internet Res Volume: 22 Page(s): e15861
    02/26/2020 Authors: O'Connor K; Sarker A; Perrone J; Gonzalez Hernandez G
  • Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework.
    J Am Med Inform Assoc Volume: 27 Page(s): 315 - 329
    02/01/2020 Authors: Sarker A; DeRoos A; Perrone J
  • A Light-Weight Text Summarization System for Fast Access to Medical Evidence.
    Front Digit Health Volume: 2 Page(s): 585559
    01/01/2020 Authors: Sarker A; Yang Y-C; Al-Garadi MA; Abbas A
  • Towards Automatic Bot Detection in Twitter for Health-related Tasks.
    Volume: 2020 Page(s): 136 - 141
    01/01/2020 Authors: Davoudi A; Klein AZ; Sarker A; Gonzalez-Hernandez G
  • Deep neural networks ensemble for detecting medication mentions in tweets.
    J Am Med Inform Assoc Volume: 26 Page(s): 1618 - 1626
    12/01/2019 Authors: Weissenbacher D; Sarker A; Klein A; O'Connor K; Magge A; Gonzalez-Hernandez G
  • Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter.
    JAMA Netw Open Volume: 2 Page(s): e1914672
    11/01/2019 Authors: Sarker A; Gonzalez-Hernandez G; Ruan Y; Perrone J
  • An interpretable natural language processing system for written medical examination assessment.
    J Biomed Inform Volume: 98 Page(s): 103268
    10/01/2019 Authors: Sarker A; Klein AZ; Mee J; Harik P; Gonzalez-Hernandez G
  • Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods.
    Volume: 264 Page(s): 333 - 337
    08/21/2019 Authors: Sarker A; Gonzalez-Hernandez G; Perrone J
  • Characterizing opioid-related tweets: a comparison between prescription and illicit opioid chatter
    Volume: 57 Page(s): 475 - 475
    06/03/2019 Authors: Sarker A; Gonzalez-Hernandez G; De Roos F; Perrone J
  • Towards real-time opioid abuse surveillance: machine learning for automatic characterization of opioid-related tweets
    Volume: 57 Page(s): 474 - 475
    06/03/2019 Authors: Sarker A; Gonzalez-Hernandez G; De Roos F; Perrone J
  • Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts".
    J Am Med Inform Assoc Volume: 26 Page(s): 577 - 579
    06/01/2019 Authors: Magge A; Sarker A; Nikfarjam A; Gonzalez-Hernandez G
  • An Analysis of a Twitter Corpus for Training a Medication Intake Classifier.
    Volume: 2019 Page(s): 102 - 106
    01/01/2019 Authors: Klein AZ; Sarker A; O'Connor K; Gonzalez-Hernandez G
  • Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature.
    Volume: 24 Page(s): 100 - 111
    01/01/2019 Authors: Magge A; Weissenbacher D; Sarker A; Scotch M; Gonzalez-Hernandez G
  • Towards scaling Twitter for digital epidemiology of birth defects.
    NPJ Digit Med Volume: 2 Page(s): 96
    01/01/2019 Authors: Klein AZ; Sarker A; Weissenbacher D; Gonzalez-Hernandez G
  • Methods to Compare Adverse Events in Twitter to FAERS, Drug Information Databases, and Systematic Reviews: Proof of Concept with Adalimumab.
    Drug Saf Volume: 41 Page(s): 1397 - 1410
    12/01/2018 Authors: Smith K; Golder S; Sarker A; Loke Y; O'Connor K; Gonzalez-Hernandez G
  • An unsupervised and customizable misspelling generator for mining noisy health-related text sources.
    J Biomed Inform Volume: 88 Page(s): 98 - 107
    12/01/2018 Authors: Sarker A; Gonzalez-Hernandez G
  • Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter.
    J Biomed Inform Volume: 87 Page(s): 68 - 78
    11/01/2018 Authors: Klein AZ; Sarker A; Cai H; Weissenbacher D; Gonzalez-Hernandez G
  • Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task.
    J Am Med Inform Assoc Volume: 25 Page(s): 1274 - 1283
    10/01/2018 Authors: Sarker A; Belousov M; Friedrichs J; Hakala K; Kiritchenko S; Mehryary F; Han S; Tran T; Rios A; Kavuluru R
  • Deep neural networks and distant supervision for geographic location mention extraction.
    Volume: 34 Page(s): i565 - i573
    07/01/2018 Authors: Magge A; Weissenbacher D; Sarker A; Scotch M; Gonzalez-Hernandez G
  • Advances in Text Mining and Visualization for Precision Medicine.
    Volume: 23 Page(s): 559 - 565
    01/01/2018 Authors: Gonzalez-Hernandez G; Sarker A; O'Connor K; Greene C; Liu H
  • Toxicovigilance through social media: quantifying abuse-indicating information in Twitter data
    Volume: 56 Page(s): 454 - 454
    01/01/2018 Authors: Sarker A; Gonzalez G; DeRoos FJ; Nelson LS; Perrone J
  • Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis.
    J Med Internet Res Volume: 19 Page(s): e361
    10/30/2017 Authors: Sarker A; Chandrashekar P; Magge A; Cai H; Klein A; Gonzalez G
  • Capturing the Patient's Perspective: a Review of Advances in Natural Language Processing of Health-Related Text.
    Yearb Med Inform Volume: 26 Page(s): 214 - 227
    08/01/2017 Authors: Gonzalez-Hernandez G; Sarker A; O'Connor K; Savova G
  • Dermatologic concerns communicated through Twitter.
    Int J Dermatol Volume: 56 Page(s): e162 - e163
    08/01/2017 Authors: Sarker A; Magge A; Sharma A
  • Automated text summarisation and evidence-based medicine: A survey of two domains

    06/25/2017 Authors: Sarker A; Molla D; Paris C
  • MINING ADVERSE EVENTS IN TWITTER: EXPERIENCES OF ADALIMUMAB USERS
    Volume: 20 Page(s): A51 - A51
    05/01/2017 Authors: Smith KL; Sarker A; Nikfarjam A; Malone D; Gonzalez-Hemandez G
  • Social media mining for identification and exploration of health-related information from pregnant women

    02/07/2017 Authors: Chandrashekar PB; Magge A; Sarker A; Gonzalez G
  • Authors' Reply to Jouanjus and Colleagues' Comment on "Social Media Mining for Toxicovigilance: AutomaticMonitoring of Prescription Medication Abuse from Twitter".
    Drug Saf Volume: 40 Page(s): 187 - 188
    02/01/2017 Authors: Sarker A; Malone D; Gonzalez G
  • A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilities.
    Data Brief Volume: 10 Page(s): 122 - 131
    02/01/2017 Authors: Sarker A; Gonzalez G
  • Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology.
    Volume: 2017 Page(s): 679 - 688
    01/01/2017 Authors: Emadzadeh E; Sarker A; Nikfarjam A; Gonzalez G
  • Extracting geographic locations from the literature for virus phylogeography using supervised and distant supervision methods.
    Volume: 2017 Page(s): 114 - 122
    01/01/2017 Authors: Weissenbacher D; Sarker A; Tahsin T; Scotch M; Gonzalez G
  • Mining the Web for Pharmacovigilance: the Case Study of Duloxetine and Venlafaxine

    10/08/2016 Authors: Chokor A; Sarker A; Gonzalez G
  • Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts.
    J Biomed Inform Volume: 62 Page(s): 148 - 158
    08/01/2016 Authors: Korkontzelos I; Nikfarjam A; Shardlow M; Sarker A; Ananiadou S; Gonzalez GH
  • Automated Extraction of Number of Subjects in Randomised Controlled Trials

    06/22/2016 Authors: Sarker A
  • Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter.
    Drug Saf Volume: 39 Page(s): 231 - 240
    03/01/2016 Authors: Sarker A; O'Connor K; Ginn R; Scotch M; Smith K; Malone D; Gonzalez G
  • Query-oriented evidence extraction to support evidence-based medicine practice.
    J Biomed Inform Volume: 59 Page(s): 169 - 184
    02/01/2016 Authors: Sarker A; Moll D; Paris C
  • FINDING POTENTIALLY UNSAFE NUTRITIONAL SUPPLEMENTS FROM USER REVIEWS WITH TOPIC MODELING.
    Volume: 21 Page(s): 528 - 539
    01/01/2016 Authors: Sullivan R; Sarker A; O'Connor K; Goodin A; Karlsrud M; Gonzalez G
  • SOCIAL MEDIA MINING SHARED TASK WORKSHOP.
    Volume: 21 Page(s): 581 - 592
    01/01/2016 Authors: Sarker A; Nikfarjam A; Gonzalez G
  • Automatic evidence quality prediction to support evidence-based decision making.
    Artif Intell Med Volume: 64 Page(s): 89 - 103
    06/01/2015 Authors: Sarker A; Moll D; Paris C
  • Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features.
    J Am Med Inform Assoc Volume: 22 Page(s): 671 - 681
    05/01/2015 Authors: Nikfarjam A; Sarker A; O'Connor K; Ginn R; Gonzalez G
  • Utilizing social media data for pharmacovigilance: A review.
    J Biomed Inform Volume: 54 Page(s): 202 - 212
    04/01/2015 Authors: Sarker A; Ginn R; Nikfarjam A; O'Connor K; Smith K; Jayaraman S; Upadhaya T; Gonzalez G
  • Portable automatic text classification for adverse drug reaction detection via multi-corpus training.
    J Biomed Inform Volume: 53 Page(s): 196 - 207
    02/01/2015 Authors: Sarker A; Gonzalez G
  • Extractive summarisation of medical documents using domain knowledge and corpus statistics.
    Australas Med J Volume: 5 Page(s): 478 - 481
    01/01/2012 Authors: Sarker A; Moll D; Paris C
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