2022

  • Natural Language Model for Automatic Identification of Intimate Partner Violence Reports From Twitter

    Sep

    Mohammed Ali Al-Garadi, Sangmi Kim, Yuting Guo, Elise Warren, Yuan-Chi Yang, Sahithi Lakamana, Abeed Sarker

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    Mohammed Ali Al-Garadi, Sangmi Kim, Yuting Guo, Elise Warren, Yuan-Chi Yang, Sahithi Lakamana, Abeed Sarker, Natural language model for automatic identification of Intimate Partner Violence reports from Twitter, Array, Volume 15, 2022, 100217, ISSN 2590-0056, https://doi.org/10.1016/j.array.2022.100217.

  • Comparison of Pretraining Models and Strategies for Health-Related Social Media Text Classification

    Aug

    Yuting Guo, Yao Ge, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker

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    Guo Y, Ge Y, Yang Y-C, Al-Garadi MA, Sarker A. Comparison of Pretraining Models and Strategies for Health-Related Social Media Text Classification. Healthcare. 2022; 10(8):1478. https://doi.org/10.3390/healthcare10081478

  • Thematic Analysis of Reddit Content About Buprenorphine-Naloxone Using Manual Annotation and Natural Language Processing Techniques

    Jul

    Rachel Lynn Graves, Jeanmarie Perrone, Mohammed Ali Al-Garadi, Yuan-Chi Yang, Jennifers Love, Karen O’Connor, Graciela Gonzalez-Hernandez, Abeed Sarker

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    Graves RL, Perrone J, Al-Garadi MA, Yang YC, Love J, O'Connor K, Gonzalez-Hernandez G, Sarker A. Thematic Analysis of Reddit Content About Buprenorphine-naloxone Using Manual Annotation and Natural Language Processing Techniques. J Addict Med. 2022 Jul-Aug 01;16(4):454-460. doi: 10.1097/ADM.0000000000000940. Epub 2021 Dec 23. PMID: 34864788; PMCID: PMC9365256.

  • Building a Social Media Platform for Surveillance and Support of Intimate Partner Violence and Its Victims During COVID-19 and Beyond: Preliminary Findings

    Jun

    Sangmi Kim, Mohammed Al-Garadi, Yuting Guo, Elise Warren, Kaylee Stephenson, Yuan-Chi Yang, Abeed Sarker

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    Kim, S., Al-Garadi, M., Guo, Y. T., Warren, E., Stephenson, K., Yang, Y. C., & Sarker, A. (2022). Building a social media platform for surveillance and support of intimate partner violence and its victims during COVID-19 and beyond: Preliminary findings. Journal of Advanced Nursing, 26-27.

  • A Comparison of Few-Shot and Traditional Named Entity Recognition Models for Medical Text

    Jun

    Yao Ge, Yuting Guo, Yuna-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker

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    Y. Ge, Y. Guo, Y. Yang, M. A. Al–Garadi and A. Sarker, "A comparison of few-shot and traditional named entity recognition models for medical text," 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI), 2022, pp. 84-89, doi: 10.1109/ICHI54592.2022.00024.

  • Recruitment and Retention in Mobile Application-Based Intervention Studies: A Critical Synopsis of Challenges and Opportunities

    Jun

    Whitney Bremmer, Abeed Sarker

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    Whitney Bremer & Abeed Sarker (2022) Recruitment and retention in mobile application-based intervention studies: a critical synopsis of challenges and opportunities, Informatics for Health and Social Care, DOI: 10.1080/17538157.2022.2082297

  • Social Media Data May Supplement Electronic Health Record Data for Studying Non-Adherence Among Breast Cancer Patients

    May

    Abeed Sarker, Mylin Torres, Imon Banerjee

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    Sarker, A., Torres, M., & Banerjee, I. (2022). AMIA CIC 2022.

  • Signals of Increasing CO-Use of Stimulants and Opioids From Online Drug Forum Data

    May

    Abeed Sarker, Mohammed Ali Al-Garadi, Yao Ge, Nisha Nataraj, Christopher M Jones, Steven A Sumner

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    Sarker, A., Al-Garadi, M.A., Ge, Y. et al. Signals of increasing co-use of stimulants and opioids from online drug forum data. Harm Reduct J 19, 51 (2022). https://doi.org/10.1186/s12954-022-00628-2

  • Early Detection Of Fraudulent Covid-19 Products From Twitter Chatter

    May

    Abeed Sarker, Sahithi Lakamana, Ruqi Liao, Aamir Abbas, Yuan-Chi Yang, Mohammed Al-Garadi

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    Sarker, A., Lakamana, S., Liao, R., Abbas, A., Yang, Y. C., & Al-Garadi, M. (2022). Early detection of fraudulent COVID-19 products from Twitter chatter. medRxiv.

  • Can Accurate Demographic Information About People Who Use Prescription Medications Non-medically Be Derived From Twitter Big Data?

    Apr

    Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S. Love, Hannah L. F. Cooper, Jeanmarie Perrone, Abeed Sarker

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    Yang, Y. C., Al-Garadi, M. A., Love, J. S., Cooper, H. L., Perrone, J., & Sarker, A. (2022). Can accurate demographic information about people who use prescription medications non-medically be derived from Twitter big data?. medRxiv.

  • Large-Scale Social Media Analysis Reveals Emotions Associated with Nonmedical Prescription Drug Use

    Apr

    Mohammed Ali Al-Garadi, Yuan-Chi Yang, Yuting Guo, Sangmi Kim, Jennifer S Love, Jeanmarie Perrone, Abeed Sarker

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    Al-Garadi, M. A., Yang, Y. C., Guo, Y., Kim, S., Love, J. S., Perrone, J., & Sarker, A. (2022). Large-Scale Social Media Analysis Reveals Emotions Associated with Nonmedical Prescription Drug Use. Health Data Science, 2022.

  • Few-shot Learning For Medical Text: A Systematic Review

    Apr

    Yao Ge, Yuting Guo, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker

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    Ge, Y., Guo, Y., Yang, Y. C., Al-Garadi, M. A., & Sarker, A. (2022). Few-shot learning for medical text: A systematic review. arXiv preprint arXiv:2204.14081.

  • Can Reddit Posts Reveal Insurance Related Barriers to Accessing Medication for Opioid Use Disorder?

    Apr

    Whitney Bremer, Abeed Sarker, Jeanmarie Perrone

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    Bremer, W., Sarker, A., & Perrone, J. (2022). Can Reddit Posts Reveal Insurance Related Barriers to Accessing Medication for Opioid Use Disorder? Journal of Medical Toxicology (ACMT Abstracts) (2022). https://doi.org/10.1007/s13181-022-008

  • Concerns Among People Who Use Opioids During the Covid-19 Pandemic: A Natural Language Processing Analysis of Social Media Posts

    Mar

    Abeed Sarker, Nisha Nataraj, Wesley Siu, Sabrina Li, Christopher M Jones, Steven A Sumner

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    Sarker, A., Nataraj, N., Siu, W. et al. 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 17, 16 (2022). https://doi.org/10.1186/s13011-022-00442-w

  • Tracking The Covid-19 Outbreak In India Through Twitter: Opportunities For Social Media Based Global Pandemic Surveillance

    Mar

    Sahithi Lakamana, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker

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    Lakamana S, Yang YC, Al-Garadi MA, Sarker A. (2022) Tracking the COVID-19 outbreak in India through Twitter: Opportunities for social media based global pandemic surveillance AMIA Annual Informatics Summit.

  • Deepluenza: Deep Learning for Influenza Detection from Twitter

    Mar

    Balsam Alkouz, Zaher Al Aghbari, Mohammed Al Al-Garadi, Abeed Sarker

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    Alkouz, B., Al Aghbari, Z., Al-Garadi, M. A., & Sarker, A. (2022). Deepluenza: Deep learning for influenza detection from Twitter. Expert Systems with Applications, 198, 116845.

  • Concerns Among People Who Use Opioids During The Covid-19 Pandemic: A Natural Language Processing Analysis Of Social Media Posts

    Mar

    Abeed Sarker, Nisha Nataraj, Wesley Siu, Sabrina Li, Christopher M Jones, Steven A Sumner

    Link Cite

    CITE

    ×

    Sarker, A., Nataraj, N., Siu, W. et al. 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 17, 16 (2022). https://doi.org/10.1186/s13011-022-00442-w

  • Automatic Identification Of Intimate Partner Violence Victims From Social Media

    Mar

    Mohammed Al-Garadi, Abeed Sarker, Yuting Guo, Elise Warren, Yuan-Chi Yang, Sangmi Kim

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    CITE

    ×

    Al-Garadi M, Sarker A, Guo Y, et al. Automatic identification of intimate partner violence victims from social media. Injury Prevention. 2022;28:A48.

  • Reddit Discussions About Buprenorphine Associated Precipitated Withdrawal In The Era Of Fentanyl

    Feb

    Anthony Spadaro, Abeed Sarker, Whitney Hogg-Bremer, Jennifer S Love, Nicole O’Donnell, Lewis S Nelson, Jeanmarie Perrone

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    Spadaro, A., Sarker, A., Hogg-Bremer, W., Love, J. S., O’Donnell, N., Nelson, L. S., & Perrone, J. (2022). Reddit discussions about buprenorphine associated precipitated withdrawal in the era of fentanyl. Clinical Toxicology, 1-8.

  • Trends in Co-mention of Stimulants and Opioids: A Natural Language Processing Driven Analysis of Reddit Forums

    Jan

    Abeed Sarker, Mohammed Ali Al-Garadi, Yao Ge, Nisha Nataraj, Christopher M Jones, Steven A Sumner

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    Sarker, A., Al-Garadi, M. A., Ge, Y., Nataraj, N., Jones, C. M., & Sumner, S. A. (2022). Trends in Co-mention of Stimulants and Opioids: A Natural Language Processing Driven Analysis of Reddit Forums.

2021

  • A Data-Driven Iterative Approach for Semi-automatically Assessing the Correctness of Medication Value Sets: A Proof of Concept Based on Opioids

    Dec

    Linyi Li, Adela Grando, Abeed Sarker

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    Li, L., Grando, A., & Sarker, A. (2021). A Data-Driven Iterative Approach for Semi-automatically Assessing the Correctness of Medication Value Sets: A Proof of Concept Based on Opioids. Methods of information in medicine, 60(S 02), e111-e119.

  • Thematic Analysis of Reddit Content About Buprenorphine-naloxone Using Manual Annotation and Natural Language Processing Techniques

    Dec

    Rachel Lynn Graves, Jeanmarie Perrone, Mohammed Ali Al-Garadi, Yuan-Chi Yang, Jennifer S Love, Karen O’Connor, Graciela Gonzalez-Hernandez, Abeed Sarker

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    Graves RL, Perrone J, Al-Garadi MA, Yang YC, Love JS, O’Connor K, Gonzalez-Hernandez G, Sarker A. Thematic Analysis of Reddit Content About Buprenorphine-naloxone Using Manual Annotation and Natural Language Processing Techniques. Journal of addiction medicine. 2021 Dec 3.

  • Defining Patient-Oriented Natural Language Processing: A New Paradigm for Research and Development to Facilitate Adoption and Use by Medical Experts

    Sep

    Abeed Sarker, Mohammed Ali Al-Garadi, Yuan-Chi Yang, Jinho Choi, Arshed A Quyyumi, Greg S Martin

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    Sarker A, Al-Garadi MA, Yang Y, Choi J, Quyyumi AA, Martin GS. Defining Patient-Oriented Natural Language Processing: A New Paradigm for Research and Development to Facilitate Adoption and Use by Medical Experts. JMIR Med Inform 2021;9(9):e18471

  • Mining Long-COVID Symptoms from Reddit: Characterizing Post-COVID Syndrome from Patient Reports

    Sep

    Abeed Sarker, Yao Ge

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    Sarker A, Ge Y. Mining long-COVID symptoms from Reddit: characterizing post-COVID syndrome from patient reports. JAMIA open. 2021 Jul;4(3):ooab075.

  • Automatic Gender Detection in Twitter Profiles for Health-Related Cohort Studies

    Jun

    Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S Love, Jeanmarie Perrone, Abeed Sarker

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    Yang YC, Al-Garadi MA, Love JS, Perrone J, Sarker A. Automatic gender detection in Twitter profiles for health-related cohort studies. JAMIA Open. 2021 Apr;4(2):ooab042.

  • Pre-Trained Transformer-Based Classification and Span Detection Models for Social Media Health Applications

    Jun

    Yuting Gao, Yao Ge, Mohammad Ali Al-Garadi, Abeed Sarker

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  • Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021

    Jun

    Arjun Magge, Ari Z. Klein, Antonio Miranda-Escalada, Mohammad Ali Al-Garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulàlia Farré-Maduell, Salvador Lima López, Ivan Flores, Karen O’Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez-Hernandez

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  • Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid

    May

    Yuan-Chi Yang, Mohammed Ali Al-Garadi, Whitney Bremer, Jane M. Zhu, David Grande, Abeed Sarker

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  • Gender Differences in Nonmedical Use of Prescription Opioids, Tranquilizers and Stimulant Medications Using Machine Learning and Social Media

    Apr 14 - 2021 Apr

    Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer Love, Jeanmarie Perrone, Abeed Sarker

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  • Methadone and Suboxone® Mentions on Twitter: Thematic and Sentiment Analysis

    Apr

    Megan Chenworth, Jeanmarie Perrone, Jennifer Love, Rachel Graves, Whitney Hogg-Bremer, Abeed Sarker

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    Chenworth M, Perrone J, Love JS, Graves R, Hogg-Bremer W, Sarker A. Methadone and Suboxone® Mentions on Twitter: Thematic and Sentiment Analysis. Clin Toxicol (Phila). 2021 Apr 6:1-14. doi: 10.1080/15563650.2021.1893742. Epub ahead of print. PMID: 33821724.

  • CoviDash-SM: A Public COVID19 Dashboard for Social Media Data-Based Research and Surveillance

    Mar 22 - 2021 Mar

    Sahithi Lakamana, Mohammad Ali Al-Garadi, Yuan-Chi Yang, Abeed Sarker

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  • Syndromic Surveillance for COVID19 from Reddit using Multi-Platform Lexicons

    Mar 22 - 2021 Mar

    Abimbola Leslie, Sahithi Lakamana, Abeed Sarker

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  • Utilizing a Multi-Class Classification Approach to Detect Therapeutic and Recreational Misuse of Opioids on Twitter

    Feb

    Samah Jamal Fodeh, Mohammed Al-Garadi, Osama Elsankary, Jeanmarie Perrone, William Becker, Abeed Sarker

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  • Text Classification Models for the Automatic Detection of Nonmedical Prescription Medication Use from Social Media

    Jan

    Mohammed Ali Al-Garadi, Yuan-Chi Yang, Haitao Cai, Yucheng Ruan, Karen O'Connor, Graciela Gonzalez-Hernandez, Jeanmarie Perrone, Abeed Sarker

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2020

  • A Light-Weight Text Summarization System for Fast Access to Medical Evidence

    Dec

    Abeed Sarker, Yuan-Chi Yang, Mohammad Ali Al-Garadi

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  • Benchmarking of Transformer-Based Pre-Trained Models on Social Media Text Classification Datasets

    Dec

    Yuting Guo, Xiangjue Dong, Mohammed Ali Al-Garadi, Abeed Sarker, Cécile Paris, Diego Mollá-Aliod

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  • A System for Automatically Expanding Concept Lexicons for Noisy Biomedical Texts

    Nov

    Abeed Sarker

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  • Utilizing a Multi-Class Classification Approach to Detect Therapeutic and Recreational Misuse of Opioids on Twitter

    Nov

    Samah Jamal Fodeh, Mohammad Al-Garadi, Osama Elsankary, Jeanmarie Perrone, William Becker, Abeed Sarker

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  • Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identifications

    Nov

    Yuting Gao, Mohammed Ali Al-Garadi, Abeed Sarker

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  • Assessing Perceptions about Medications for Opioid Use Disorder and Naloxone on Twitter

    Aug

    Babak Tofighi, Omar El Shahawy, Andrew Segoshi, Katerine P Moreno, Beita Badiei, Abeed Sarker, Noa Krawczyk

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  • Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach

    Aug

    Jane M. Zhu, Abeed Sarker, Sarah Gollust, Raina Merchant, David Grande

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  • Self-Reported COVID-19 Symptoms on Twitter: An Analysis and a Research Resource

    Aug

    Abeed Sarker, Sahithi Lakamana, Whitney Hogg-Bremer, Angel Xie, Mohammed Ali Al-Garadi, Yuan-Chi Yang

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  • Characteristics of Twitter Use by State Medicaid Programs in the United States: A Machine Learning Application

    Jul 28 - 2020 Aug

    Jane M Zhu, Abeed Sarker, Sarah Gollust, Raina Merchant, David Grande

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  • Towards Automatic Bot Detection in Twitter for Health-related Tasks

    May

    Anahita Davoudi, Ari Z. Klein, Abeed Sarker, Graciela Gonzalez-Hernandez

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  • Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient Centered Outcomes

    May

    Mohammed Ali Al-Garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie, Whitney Hogg-Bremer, Mylin Torres, Imon Banerjee, Abeed Sarker

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  • Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines

    Feb

    Karen O'Connor, Abeed Sarker, Jeanmarie Perrone, Graciela Gonzalez-Hernandez

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  • Mining Social Media for Prescription Medication Abuse Monitoring: A Review and Proposal for a Data-Centric Framework

    Feb

    Abeed Sarker, Annika DeRoos, Jeanmarie Perrone

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  • Buprenorphine Initiation in the Emergency Department: A Thematic Content Analysis of a #firesidetox Tweetchat

    Jan

    Megan Chenworth, Jeanmarie Perrone, Jennifer S. Love, Howard A. Greller, Abeed Sarker, Peter R. Chai

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2019

  • Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets

    Dec

    Davy Weissenbacher, Abeed Sarker, Ari Z. Klein, Karen O'Connor, Arjun Magge, Graciela Gonzalez-Hernandez

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  • Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter

    Nov

    Abeed Sarker, Graciela Gonzalez-Hernandez, Yucheng Ruan, Jeanmarie Perrone

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  • Towards Scaling Twitter for Digital Epidemiology of Birth Defects

    Oct

    Ari Z. Klein, Abeed Sarker, Davy Weissenbacher, Graciela Gonzalez-Hernandez

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  • Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods

    Aug

    Abeed Sarker, Graciela Gonzalez-Hernandez, Jeanmarie Perrone

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  • Data-Driven Lexical Normalization for Medical Social Media

    Aug

    Anne Dirkson, Suzan Verberne, Abeed Sarker, Wessel Kraaij

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  • An Interpretable Natural Language Processing System for Written Medical Examination Assessment

    Aug

    Abeed Sarker, Ari Z. Klein, Janet Mee, Polina Harik, Graciela Gonzalez-Hernandez

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  • Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019

    Aug

    Davy Weissenbacher, Abeed Sarker, Arjun Magge, Ashlynn Daughton, Karen O'Connor, Michael Paul, Graciela Gonzalez-Hernandez

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  • Comment on: "Deep Learning for Pharmacovigilance: Recurrent Neural Network Architectures for Labeling Adverse Drug Reactions in Twitter Posts"

    Jun

    Arjun Magge, Abeed Sarker, Azadeh Nikfarjam, Graciela Gonzalez-Hernandez

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  • Towards Real-Time Opioid Abuse Surveillance: Machine Learning for Automatic Characterization of Opioid-Related Tweets

    May 21 - 2019 May

    Abeed Sarker, Graciela Gonzalez-Hernandez, Francis DeRoos, Jeanmarie Perrone

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  • Characterizing Opioid-Related Tweets: A Comparison Between Prescription and Illicit Opioid Chatter

    May 21 - 2019 May

    Abeed Sarker, Graciela Gonzalez-Hernandez, Francis DeRoos, Jeanmarie Perrone

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  • An Analysis of a Twitter Corpus for Training a Medication Intake Classifier

    May

    Ari Z. Klein, Abeed Sarker, Davy Weissenbacher, Graciela Gonzalez-Hernandez

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  • Sentiment, Themes, and Analyses in Tweets about Suboxone

    Mar

    Rachel Graves, Jeanmarie Perrone, Jennifer Love, Abeed Sarker

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  • Can Reddit Reveal Unique Facets of Suboxone Use and Misuse?

    Mar

    Rachel Graves, Jeanmarie Perrone, Jennifer Love, Abeed Sarker

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  • Bi-Directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature

    Jan

    Arjun Magge, Davy Weissenbacher, Abeed Sarker, Matthew Scotch, Graciela Gonzalez-Hernandez

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