Publications

Guo Y, Ovadje A, Al-Garadi MA, Sarker A. Evaluating large language models for health-related text classification tasks with public social media data. Journal of the American Medical Informatics Association. 2024 Oct;31(10):2181-9.

Xu, D. and Gonzalez, G., 2024, August. Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks. In Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks.

Kobara S, Rafiei A, Nateghi M, Bozkurt S, Kamaleswaran R, Sarker A. Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. InInternational Conference on Artificial Intelligence in Medicine 2024 Jul 9 (pp. 345-354). Cham: Springer Nature Switzerland.

Weigle MC, Balsa-Barreiro J, Chawla NV, Dávid-Barrett T, Melchior M, Pallante V, Sarker A, Gilliland J. Characterizing social environments in the physical and virtual worlds using digital data.

Das S, Walker D, Rajwal S, Lakamana S, Sumner SA, Mack KA, Kaczkowski W, Sarker A. Emerging trends of self-harm using sodium nitrite in an online suicide community: observational study using natural language processing analysis. JMIR mental health. 2024 May 2;11(1):e53730.

Rajwal S, Pandey AK, Han Z, Sarker A. Unveiling Voices: Identification of Concerns in a Social Media Breast Cancer Cohort via Natural Language Processing. InProceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health)@ LREC-COLING 2024 2024 May (pp. 264-270).

Chiang CC, Luo M, Dumkrieger G, Trivedi S, Chen YC, Chao CJ, Schwedt TJ, Sarker A, Banerjee I. A large language model–based generative natural language processing framework fine‐tuned on clinical notes accurately extracts headache frequency from electronic health records. Headache: The Journal of Head and Face Pain. 2024 Apr;64(4):400-9.

Helbich, Marco, Yi Zeng, and Abeed Sarker. "Area-level Measures of the Social Environment: Operationalization, Pitfalls, and Ways Forward." 2024. 1-20.

Balouchzahi F, Butt S, Sarker A, MA AG, Sidorov G, Gelbukh A. Analysis of Expressions of Hope and Regret Associated with Nonmedical Prescription Drug Use in X Chatter. Available at SSRN 4930517.

Guo, Yuting, et al. "Leveraging Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literature." arXiv preprint arXiv:2402.01826 (2024).

Guo, Yuting, Yao Ge, and Abeed Sarker. "Detection of Medication Mentions and Medication Change Events in Clinical Notes Using Transformer-Based Models." Studies in Health Technology and Informatics 310 (2024): 685-689.

Ge, Yao, Mohammed Ali Al-Garadi, and Abeed Sarker. "Data Augmentation with Nearest Neighbor Classifier for Few-Shot Named Entity Recognition." MEDINFO 2023—The Future Is Accessible. IOS Press, 2024. 690-694.

Afzal HB, Jahangir T, Mei Y, Madden A, Sarker A and Kim S (2024) Can adverse childhood experiences predict chronic health conditions? Development of trauma-informed, explainable machine learning models. Front. Public Health. 11:1309490. doi: 10.3389/fpubh.2023.1309490

Leslie A, Okunromade O, Sarker A. Public Perceptions About Monkeypox on Twitter: Thematic Analysis. JMIR Form Res 2023;7:e48710. URL: https://formative.jmir.org/2023/1/e48710. DOI: 10.2196/48710.

Klein AZ, Banda JM, Guo Y, Schmidt AL, Xu D, Amaro JIF, Rodriguez-Esteban R, Sarker A, Gonzalez-Hernandez G. Overview of the 8th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at the AMIA 2023 Annual Symposium. medRxiv [Preprint]. 2023 Nov 8:2023.11.06.23298168. doi: 10.1101/2023.11.06.23298168. PMID: 37986776; PMCID: PMC10659479.

Landram G, Kothari A, Lakamana S, Sarker A, Kim S. Interface of gun violence and intimate partner violence: Survivors’ narrative on social media. InAPHA 2023 Annual Meeting and Expo 2023 Nov 14. APHA.

Guo Y, Das S, Lakamana S, Sarker A. An aspect-level sentiment analysis dataset for therapies on Twitter. Data in Brief. 2023 Oct 1;50:109618.

TBD

Chiang CC, Luo M, Dumkrieger G, Trivedi S, Chen YC, Chao CJ, Schwedt TJ, Sarker A, Banerjee I. A Large Language Model-Based Generative Natural Language Processing Framework Finetuned on Clinical Notes Accurately Extracts Headache Frequency from Electronic Health Records. medRxiv [Preprint]. 2023 Oct 3:2023.10.02.23296403. doi: 10.1101/2023.10.02.23296403. PMID: 37873417; PMCID: PMC10593021.

Yang, Yuan-Chi PhD; Xie, Angel BS; Kim, Sangmi PhD, MPH, RN; Hair, Jessica BSN, RN; Al-Garadi, Mohammed PhD; Sarker, Abeed PhD. Automatic Detection of Twitter Users Who Express Chronic Stress Experiences via Supervised Machine Learning and Natural Language Processing. CIN: Computers, Informatics, Nursing 41(9):p 717-724, September 2023. | DOI: 10.1097/CIN.0000000000000985

Raza, S., Schwartz, B., Lakamana, S. et al. A framework for multi-faceted content analysis of social media chatter regarding non-medical use of prescription medications. BMC Digit Health 1, 29 (2023). https://doi.org/10.1186/s44247-023-00029-w

Ge, Y., Guo, Y., Das, S., Al-Garadi, M. A., & Sarker, A. (2023). Few-shot learning for medical text: A review of advances, trends, and opportunities. Journal of Biomedical Informatics, 104458. https://doi.org/10.1016/j.jbi.2023.104458

Sarker, Abeed, et al. “#ChronicPain: Automated Building of a Chronic Pain Cohort from Twitter Using Machine Learning.” Health Data Science, vol. 3, 2023, https://doi.org/10.34133/hds.0078.

Powell, J.M., Guo, Y., Sarker, A., McKay, J.L. (2023). Classification of Fall Types in Parkinson's Disease from Self-report Data Using Natural Language Processing. In: Juarez, J.M., Marcos, M., Stiglic, G., Tucker, A. (eds) Artificial Intelligence in Medicine. AIME 2023. Lecture Notes in Computer Science(), vol 13897. Springer, Cham. https://doi.org/10.1007/978-3-031-34344-5_20

Yuting Guo and Abeed Sarker. 2023. SocBERT: A Pretrained Model for Social Media Text. In The Fourth Workshop on Insights from Negative Results in NLP, pages 45–52, Dubrovnik, Croatia. Association for Computational Linguistics.

Kim, S., Warren, E., Jahangir, T., Al-Garadi, M., Guo, Y., Yang, Y.-C., Lakamana, S., & Sarker, A. (2023). Characteristics of Intimate Partner Violence and Survivor’s Needs During the COVID-19 Pandemic: Insights From Subreddits Related to Intimate Partner Violence. Journal of Interpersonal Violence, 0(0). https://doi.org/10.1177/08862605231168816

Rachel S. Wightman, Jeanmarie Perrone, Alexandra B. Collins, Sahithi Lakamana & Abeed Sarker (2023) An analysis of cannabinoid hyperemesis syndrome Reddit posts and themes, Clinical Toxicology, 61:4, 283-289, DOI: 10.1080/15563650.2023.2183790

Bremer W, Plaisance K, Walker D, Bonn M, Love JS, Perrone J and Sarker A (2023) Barriers to opioid use disorder treatment: A comparison of self-reported information from social media with barriers found in literature. Front. Public Health. 11:1141093. doi: 10.3389/fpubh.2023.1141093

Yang Y-C, Al-Garadi MA, Love JS, Cooper HLF, Perrone J, Sarker A. Can accurate demographic information about people who use prescription medications nonmedically be derived from Twitter? Proc Natl Acad Sci [Internet]. 2023;120(8):e2207391120. Available from: https://www.pnas.org/doi/abs/10.1073/pnas.2207391120

Guo Y, Kim S, Warren E, Yang Y-C, Sahithi L, Sarker A. Automatic Detection of Intimate Partner Violence Victims from Social Media for Proactive Delivery of Support. In: AMIA 2023 Informatics Summit. 2023.

Sarker A, Lakamana S, Liao R, Abbas A, Yang Y, Al-Garadi M The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection JMIR Infodemiology 2023;3:e43694 URL: https://infodemiology.jmir.org/2023/1/e43694 DOI: 10.2196/43694

Spadaro, A., O’Connor, K., Lakamana, S., Sarker, A., Wightman, R., Love, J. S., & Perrone, J. (2023). Self-reported Xylazine Experiences: A mixed methods study of Reddit subscribers. medRxiv (Cold Spring Harbor Laboratory). https://doi.org/10.1101/2023.03.13.23287215

Guo, Y., Al-Garadi, M. A., Book, W., Ivey, L. C., Rodriguez, F. H., Raskind-Hood, C., Robichaux, C., & Sarker, A. (2023). Supervised Text Classification System Detects Fontan Patients in Electronic Records With Higher Accuracy Than ICD Codes. Journal of the American Heart Association. https://doi.org/10.1161/jaha.123.030046

Guo Y, Rajwal S, Lakamana S, Chiang CC, Menell PC, Shahid AH, Pharm D YC, Chhabra N, Chao WJ, Chao CJ, Schwedt TJ, Banerjee I, Sarker A. Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media. AMIA Jt Summits Transl Sci Proc. 2023 Jun 16;2023:261-270. PMID: 37350878; PMCID: PMC10283091.

Abeed Sarker, Mohammed Ali Al-Garadi, Yao Ge, Nisha Nataraj, Londell McGlone, Christopher M Jones, Steven A Sumner, Evidence of the emergence of illicit benzodiazepines from online drug forums, European Journal of Public Health, Volume 32, Issue 6, December 2022, Pages 939–941, https://doi.org/10.1093/eurpub/ckac161

Yuting Guo, Mohammed A Al-Garadi, Wendy M Book, Lindsey Ivey, Fred H Rodriguez, Cheryl L Raskind-Hood AS. A Supervised Classification Model Detects Fontan Patients Based on Clinical Notes With Higher Accuracy Than ICD Codes. Circulation. 2022;

Yang, Yuan-Chi PhD; Xie, Angel BS; Kim, Sangmi PhD, MPH, RN; Hair, Jessica BSN, RN; Al-Garadi, Mohammed PhD; Sarker, Abeed PhD. Automatic Detection of Twitter Users Who Express Chronic Stress Experiences via Supervised Machine Learning and Natural Language Processing. CIN: Computers, Informatics, Nursing ():10.1097/CIN.0000000000000985, November 28, 2022. | DOI: 10.1097/CIN.0000000000000985

Anthony Spadaro, Abeed Sarker, and Jeanmarie Perrone. Self Reported Xylazine Exposure and Experiences: A Mixed Methods Study of Reddit Users. In AMERSA;

Sarker, Abeed. (2022). Social media mining for toxicovigilance of prescription medications: Progress, challenges and future work. 10.13140/RG.2.2.35518.36168.

Al-Garadi MA, Yang Y-C, Sarker A. The Role of Natural Language Processing during the COVID-19 Pandemic: Health Applications, Opportunities, and Challenges. Healthcare. 2022; 10(11):2270. https://doi.org/10.3390/healthcare10112270

Davy Weissenbacher, Juan Banda, Vera Davydova, Darryl Estrada Zavala, Luis Gasco Sánchez, Yao Ge, Yuting Guo, Ari Klein, Martin Krallinger, Mathias Leddin, Arjun Magge, Raul Rodriguez-Esteban, Abeed Sarker, Lucia Schmidt, Elena Tutubalina, and Graciela Gonzalez-Hernandez. 2022. Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022. In Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task, pages 221–241, Gyeongju, Republic of Korea. Association for Computational Linguistics.

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

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

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.

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.

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.

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

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.

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

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

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.

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

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.

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.

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

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

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.

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.

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.

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.

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.

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.

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

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

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.

Magge A, Klein A, Miranda-Escalada, Al-Garadi MA, Alimova I, Miftahutdinov Z, Farre E, Lopez SL, Flores I, O’Connor K, Weissenbacher D, Tutubalina E, Sarker A, Banda J, Krallinger M, Gonzalez-Hernandez G. Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021. Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task. Association for Computational Linguistics. 2021; 21 – 32. Mexico City, Mexico.

Guo Y, Ge Y, Al-Garadi MA, Sarker A. Pre-Trained Transformer-Based Classification and Span Detection Models for Social Media Health Applications. Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task. Association for Computational Linguistics. 2021; 52-57. Mexico City, Mexico.

Yang YC, Al-Garadi MA, Bremer W, Zhu JM, Grande D, Sarker A. Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid. J Med Internet Res. 2021 May 3;23(5):e26616. doi: 10.2196/26616. PMID: 33938807; PMCID: PMC8129876.

Yang YC, Al-Garadi MA, Love J, Perrone J, Sarker A. Gender Differences in Nonmedical Use of Prescription Opioids, Tranquilizers and Stimulant Medications Using Machine Learning and Social Media. Proceedings of the ACMT Annual Summit [meeting abstract]. 2021 (virtual).

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.

Lakamana S, Al-Garadi MA, Yang YC, Sarker A. CoviDash-SM: A Public COVID-19 Dashboard for Social Media Data-Based Research and Surveillance. Proceedings of the AMIA Informatics Summit (posters). 2021 (virtual). doi: 10.13140/RG.2.2.23784.80644.

Leslie A, Lakamana S, Sarker A. Syndromic Surveillance for COVID-19 from Reddit using Multi-Platform Lexicons. AMIA Informatics Summit (posters). March 22 – 25 (virtual).

Fodeh, S. J., Al-Garadi, M., Elsankary, O., Perrone, J., Becker, W., Sarker, A. Utilizing a Multi-Class Classification Approach to Detect Therapeutic and Recreational Misuse of Opioids on Twitter. Computers in Biology and Medicine, 129 (2021), 104132.

Al-Garadi MA, Yang YC, Cai H, Ruan Y, O'Connor K, Graciela GH, Perrone J, Sarker A. Text Classification Models for the Automatic Detection of Nonmedical Prescription Medication Use from Social Media. BMC Med Inform Decis Mak. 2021 Jan 26;21(1):27. doi: 10.1186/s12911-021-01394-0. PMID: 33499852; PMCID: PMC7835447.

Sarker A, Yang YC, Al-Garadi MA. A Light-Weight Text Summarization System for Fast Access to Medical Evidence. Front Digit Health. 2020 Dec 04; 3:585559. doi: 10.3389/fdgth.2020.585559.

Guo Y, Dong X, Al-Garadi MA, Sarker A, Paris C, Molla-Aliod D. Benchmarking of Transformer-Based Pre-Trained Models on Social Media Text Classification Datasets. Proceedings of the The 18th Annual Workshop of the Australasian Language Technology Association (virtual). 2020; 86 – 91.

Sarker A. LexExp: A System for Automatically Expanding Concept Lexicons for Noisy Biomedical Texts. Bioinformatics. 2020 Nov 27:btaa995. doi: 10.1093/bioinformatics/btaa995. Epub ahead of print. PMID: 33244602.

Guo Y, Al-Garadi MA, Sarker A. Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification. Proceedings of the 2020 EMNLP Workshop W-NUT: The Sixth Workshop on Noisy User-generated Text. 2020; 388-393. Association for Computational Linguistics (virtual).

Fodeh SJ, Al-Garadi M, Elsankary O, Perrone J, Becker W, Sarker A. Utilizing a Multi-Class Classification Approach to Detect Therapeutic and Recreational Misuse of Opioids on Twitter. Comput Biol Med. 2021 Feb;129:104132. doi: 10.1016/j.compbiomed.2020.104132. Epub 2020 Nov 20. PMID: 33290931; PMCID: PMC7855783.

Zhu JM, Sarker A, Gollust S, Merchant R, Grande D. Characteristics of Twitter Use by State Medicaid Programs in the United States: A Machine Learning Application. Proceedings of the AcademyHealth Annual Research Meeting. 2020 (virtual).

Tofighi B, El Shahawy O, Segoshi A, Moreno KP, Badiei B, Sarker A, Krawczyk N. Assessing Perceptions about Medications for Opioid Use Disorder and Naloxone on Twitter. J Addict Dis. 2020 Aug 24:1-9. doi: 10.1080/10550887.2020.1811456. Epub ahead of print. PMID: 32835641..

Sarker A, Lakamana S, Hogg-Bremer W, Xie A, Al-Garadi MA, Yang YC. Self-Reported COVID-19 Symptoms on Twitter: An Analysis and a Research Resource. J Am Med Inform Assoc. 2020 Aug 1;27(8):1310-1315. doi: 10.1093/jamia/ocaa116. PMID: 32620975; PMCID: PMC7337747.

Al-Garadi MA, Yang YC, Lakamana S, Lin J, Li S, Xie A, Hogg-Bremer W, Torres M, Banerjee I, Sarker A. Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient Centered Outcomes. Proceedings of the Conference on Artificial Intelligence in Medicine (AIME). 2020. Minneapolis, Minnesota. doi: 10.1101/2020.05.17.20104778.

Davoudi A, Klein AZ, Sarker A, Gonzalez-Hernandez G. Towards Automatic Bot Detection in Twitter for Health-related Tasks. AMIA Jt Summits Transl Sci Proc. 2020; 136-141. PMID: 32477632; PMCID: PMC7233076.

A Sarker, A DeRoos, J Perrone. Mining Social Media for Prescription Medication Abuse Monitoring: A Review and Proposal for a Data-Centric Framework. J Am Med Inform Assoc. 2020 Feb 1; 27(2):315-329. doi: 10.1093/jamia/ocz162. PMID: 31584645; PMCID: PMC7025330.

O’Connor K, Sarker A, Perrone J, Gonzalez-Hernandez G. Promoting Reproducible Research for Characterizing Nonmedical Use of Medications Through Data Annotation: Description of a Twitter Corpus and Guidelines. Journal of Medical Internet Research. 2020;22(2): e15861. PMID: 32130117 PMCID: PMC7066507.

Chenworth M, Perrone J, Love JS, Greller HA, Sarker A, Chai PR. Buprenorphine Initiation in the Emergency Department: A Thematic Content Analysis of a #firesidetox Tweetchat. J Med Toxicol. 2020 Jul;16(3):262-268. doi: 10.1007/s13181-019-00754-7. Epub 2020 Jan 2. PMID: 31898154; PMCID: PMC7320102.

Weissenbacher, Davy, Abeed Sarker, Ari Klein, Karen O'Connor, Arjun Magge Ranganatha, and Graciela Gonzalez-Hernandez. Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets. J Am Med Inform Assoc. 2019 Dec 1; 26(12):1618-1626. doi: 10.1093/jamia/ocz156. PMID: 31562510; PMCID: PMC6857507.

A Sarker, G Gonzalez-Hernandez, Y Ruan, J Perrone. Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter. JAMA Netw Open. 2019 Nov 1;2(11):e1914672. doi: 10.1001/jamanetworkopen.2019.14672. PMID: 31693125; PMCID: PMC6865282.

Klein, Ari Z., Abeed Sarker, Davy Weissenbacher, and Graciela Gonzalez-Hernandez. Towards Scaling Twitter for Digital Epidemiology of Birth Defects. NPJ Digit Med. 2019 Oct 1; 2:96. doi: 10.1038/s41746-019-0170-5. PMID: 31583284; PMCID: PMC6773753.

Sarker A, Klein AZ, Mee J, Harik P, Gonzalez-Hernandez G. An Interpretable Natural Language Processing System for Written Medical Examination Assessment. J Biomed Inform. 2019 Oct;98:103268. doi: 10.1016/j.jbi.2019.103268. Epub 2019 Aug 14. PMID: 31421211.

Dirkson, Anne, Suzan Verberne, Abeed Sarker, and Wessel Kraaij. Data-Driven Lexical Normalization for Medical Social Media. Multimodal Technologies and Interaction. 2019 Aug 20; 3(3):60. DOI: 10.3390/mti3030060.

Weissenbacher, Davy, Abeed Sarker, Arjun Magge, Ashlynn Daughton, Karen O’Connor, Michael Paul, and Graciela Gonzalez. Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019. Proceedings of the 4th Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task. 2019; 21-30. Florence, Italy. doi: 10.18653/v1/W19-3203.

Sarker A, Gonzalez-Hernandez G, Perrone J. Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods. Stud Health Technol Inform. 2019 Aug 21;264:333-337. doi: 10.3233/SHTI190238. PMID: 31437940; PMCID: PMC6774610.

Magge, Arjun, Abeed Sarker, Azadeh Nikfarjam, and Graciela Gonzalez-Hernandez. Comment on: Deep Learning for Pharmacovigilance: Recurrent Neural Network Architectures for Labeling Adverse Drug Reactions in Twitter Posts. J Am Med Inform Assoc. 2019 Jun 1; 26(6):577-579. doi:10.1093/jamia/ocz013. PMID:31087070; PMCID:PMC6515520.

Klein AZ, Sarker A, Weissenbacher D, Gonzalez G. An Analysis of a Twitter Corpus for Training a Medication Intake Classifier. Proceedings of the AMIA Joint Summits on Translational Science. 2019; 102-106. San Francisco, USA.

Sarker A, Gonzalez G, DeRoos F, Perrone J. Characterizing Opioid-Related Tweets: A Comparison Between Prescription and Illicit Opioid Chatter. Proceedings of the 39th International Congress of the European Association of Poisons Centres and Clinical Toxicologists (EAPCCT). 2019. Naples, Italy.

A Sarker, G Gonzalez-Hernandez, F DeRoos, J Perrone. Towards Real-Time Opioid Abuse Surveillance: Machine Learning for Automatic Characterization of Opioid-Related Tweets. Proceedings of the 39th International Congress of the European Association of Poisons Centres and Clinical Toxicologists (EAPCCT). 2019. Naples, Italy.

R Graves, J Perrone, J Love, Abeed Sarker. Can Reddit Reveal Unique Facets of Suboxone Use and Misuse? Proceedings of the ACMT Annual Summit [meeting abstract]. 2019. San Francisco, USA. doi:10.1007/s13181-019-00699-x.

Magge A, Weissenbacher D, Sarker A, Scotch M, Gonzalez G. Bi-Directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature. Proceedings of the Pacific Symposium on Biocomputing (PSB 2019). 2019; 100-111. Hawaii, USA.