Publications

Ivey LC, Raskind-Hood C, Rodriguez FH, Licitra G, Sheets RO, Westrick M, Guo Y, Sarker A, Book WM. Survival by Heart Failure Phenotype in a Fontan Surveillance Population, 2010-2023.. Pediatric Cardiology. 2026.

Walker A, Leung J, Alagappan A, Rajwal S, Lakamana S, Park T, Le N, Irani A, Sarker A, Falasinnu T, Bozkurt S. Centering Patient Voices in Lupus Pain: A Biopsychosocial Analysis of Reddit Narratives Using Large Language Models. Arthritis care & research. 2025.

Aggrey K, Igunza, Ramakrishna N, Madewell ZJ, Akelo V, Muttai H, Mugah C, Mitei P, Ogbuanu I, Bassey I, Kaluma E, Balogun O, Luke R, Arifeen S, Gurley ES, Hossain MZ, Biswas R, Afrin A, Assefa N, Anthony J, Scott G, Leulseged H, Kebede M, Eshetu K, Kotloff K, Sow S, Varo R, Mandomando I, Garrine M, Kincardett M, Bassat Q, Madhi S, Dangor Z, Dempster M, Hall M, Velaphi S, Blevins J, Maixenchs M, Guo Y, Sarker A, Mutevedzi P, Whitney CG, Rees CA, Health C. Elucidating Delays in Illness Recognition, Healthcare Seeking, and Healthcare Provision for Stillbirths and Neonatal Deaths in Seven Low- and Middle-Income Countries. medRxiv. 2025.

Dey SK, Powell JM, Ismail A, Perrone J, Sarker A. Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset. Biocomputing. 2025.

Chukwuemeka I, Sudeshna D, Guo Y, Swati R, Yao G, Ogunsola O, Ajayi O, Flowers L, Sarker A. Bridging AI, NLP, and Digital Health: A Bi-Directional Learning Experience at Emory University.. Studies in Health Technology and Informatics. 2025.

Walker D, Love J, Rajwal S, Walker IC, Cooper H, Sarker A, Livingston M. Application of CARE-SD text classifier tools to assess distribution of stigmatizing and doubt-marking language features in EHR. arXiv.org. 2025.

Hairston JM, Ranjan R, Lakamana S, Spadaro A, Bozkurt S, Perrone J, Sarker A. Automating inductive thematic analyses of health content using large language models: a proof-of-concept study using social media data. JAMIA Open. 2025.

Ge Y, Das S, Guo Y, Sarker A. Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models. Research Square. 2025.

Walker D, Rajwal S, Das S, Peddireddy S, Sarker A. Identifying social isolation themes in NVDRS text narratives using topic modeling and text-classification methods. arXiv.org. 2025.

Powell JM, Cao C, Means K, Lakamana S, Sarker A, McKay JL. Evaluation of Facebook as a Longitudinal Data Source for Parkinson’s Disease Insights. Journal of Clinical Medicine. 2025.

Zhu Y, Guo Y, Marchuck N, Sarker A, Wang Y. Leveraging large language models and traditional machine learning ensembles for ADHD detection from narrative transcripts. arXiv.org. 2025.

Zhu Y, Marchuck N, Guo Y, Sarker A, Wang Y. 63. Narratives After Naturalistic Movie Viewing in ADHD: A Large Language Model Analysis. Biological Psychiatry. 2025.

Bozkurt, S., Walker, A., Park, T., Le, N., Sarker, A., Irani, A., & Falasinnu, T. (2025). The Digital Narrative: Chronic Pain Self-Management Insights from Reddit in Systemic Lupus Erythematosus. Studies in health technology and informatics, 323, 483-485.

Ge Y, Guo Y, Das S, Rajwal S, Bozkurt S, Sarker A. HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models. arXiv.org. 2025.

Guo Y, Sarker A. Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks. 2025.

Guo, Y., Shi, H., Book, W. M., Ivey, L. C., Rodriguez III, F. H., Sameni, R., ... & Sarker, A. (2025). Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records. Birth defects research, 117(3), e2451.

Al-Garadi M, Mungle T, Ahmed A, Sarker A, Miao Z, Matheny ME. Large Language Models in Healthcare. arXiv.org. 2025.

Perrone, J., Love, J., Hairston, J., Lakamana, S., & Sarker, A. (2025). Characterization of Reddit Posts on Nitazenes. Drug and Alcohol Dependence, 267, 111433.

Hairston JM, Ranjan R, Lakamana S, Spadaro A, Bozkurt S, Perrone J, Sarker A. Automated Thematic Analyses Using LLMs: Xylazine Wound Management Social Media Chatter Use Case. arXiv.org. 2025.

Adams, M. C., Bann, C. M., Bayman, E. O., Chao, M., Hergenroeder, G. W., Knott, C., ... & Thompson, W. K. (2025). Building community through data: the value of a researcher driven open science ecosystem. Pain Medicine, pnaf003.

Rajwal, S., Zhang, Z., Chen, Y., Rogers, H., Sarker, A., & Xiao, Y. (2025). Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review. JMIR Research Protocols, 14(1), e66094.

Webster, J. L., Sarker, A., & Cooper, H. L. (2025). “Strong Black Women”: Prescription Stimulant Use as a Site of Resistance in the Context of Black Women’s Labor and Negative Images of Black Womanhood.

Das S, Ge Y, Guo Y, Rajwal S, Hairston J, Powell J, Walker D, Peddireddy S, Lakamana S, Bozkurt S, Reyna M. Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study. Journal of Medical Internet Research. 2025 Jan 6;27:e66220.

Webster J, Lakamana S, Ge Y, Sarker A. “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. medRxiv. 2024.

Walker A, Thorne A, Das S, Love J, Cooper HL, Livingston III M, Sarker A. CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation. Journal of the American Medical Informatics Association. 2024 Dec 26:ocae310.

Licitra G, Ivey LC, Raskind-Hood C, Rodriguez FH, Guo Y, Sarker A, Book W. Abstract 4143305: Risk Factors for Adverse Outcomes in a Fontan Population. Circulation. 2024.

Licitra G, Ivey L, Raskind-Hood C, Rodriguez F, Guo Y, SARKER A, Book W. Risk Factors for Adverse Outcomes in a Fontan Population. Circulation. 2024 Nov 12;150(Suppl_1):A4143305-.

Ivey L, Raskind-Hood C, Haffner A, Guo Y, SARKER A, Rodriguez F, Book W. Heart failure is time-dependent and associated with heart transplant, hepatocellular carcinoma, and death in the Fontan population. Circulation. 2024 Nov 12;150(Suppl_1):A4146814-.

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.

Sarker A, Zhang R, Wang Y, Xiao Y, Das S, Schutte D, Oniani D, Xie Q, Xu H. Natural Language Processing for Digital Health in the Era of Large Language Models. Yearbook of Medical Informatics. 2024.

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.

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.

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.

Ge Y, Das S, O’Connor K, Al-garadi M, Gonzalez-Hernandez G, Sarker A. Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media. arXiv.org. 2024.

Dai X, Karimi S, Sarker A, Hachey B, Paris C. MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction. Journal of Biomedical Informatics. 2024.

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).

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.

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.

Mousavi SS, Guo Y, Sarker A, Sameni R. Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2024.

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).

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.

Xu D, García G, Raithel L, Thomas P, Roller R, Aramaki E, Wakamiya S, Yada S, Zweigenbaum P, O’Connor K, Samineni S, Hernandez S, Ge Y, Rajwal S, Das S, Sarker A, Klein A, Schmidt A, Sharma V, Rodriguez-Esteban R, Banda JM, Amaro I, Weissenbacher D, Gonzalez-Hernandez G. Overview of the 9th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at ACL 2024 – Large Language Models and Generalizability for Social Media NLP. SMM4H. 2024.

Das S, Ge Y, Guo Y, Rajwal S, Hairston JM, Powell JM, Walker D, Peddireddy SR, Lakamana S, Bozkurt S, Reyna MA, Sameni R, Xiao Y, Kim S, Chandler RD, Hernandez N, Mowery D, Wightman R, Love J, Spadaro A, Perrone J, Sarker A. Two-layer retrieval augmented generation framework for low-resource medical question-answering: proof of concept using Reddit data. arXiv.org. 2024.

Rajwal S, Agichtein E, Sarker A. EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction. Clinical Natural Language Processing Workshop. 2024.

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

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.

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.

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.

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.

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.

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.

TBD

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.

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

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.

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

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.

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

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

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

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.

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

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

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

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.

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

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

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

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

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

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

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;

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

Sarker A, Lakamana S, Guo Y, Leslie A, Okunromade O, Yang Y, Gonzalez-Polledo E, Perrone J, McKenzie-Brown A. #ChronicPain: Automatic establishment of a chronic pain cohort from social media using machine learning for studying opioid-alternative therapies. medRxiv. 2022.

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.

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

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.

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.

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

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

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.

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.

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

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.

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.

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.

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

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

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.

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.

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.

Kim S, Sarker A, Sales J. The Use of Social Media to Prevent and Reduce Intimate Partner Violence During COVID-19 and Beyond. Partner Abuse. 2021.

Al-garadi M, Yang Y, Guo Y, Kim S, Love J, Perrone J, Sarker A. Large-scale social media language analysis reveals emotions and behaviours associated with nonmedical prescription drug use. medRxiv. 2021.

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

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

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.

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.

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.

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.

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.

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).

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).

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.

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.

Spadaro A, Sarker A, Hogg-Bremer W, Love JS, O’Donnell N, Nelson LS, Perrone J. discussions about associated precipitated withdrawal in the era of. 2021.

Ge Y, Guo Y, Sarker A. Mining and characterizing long-COVID symptoms from self-reports on Reddit. American Medical Informatics Association Annual Symposium. 2021.

Guo Y, Ge Y, Liao R, Sarker A. An Ensemble Model for Automatic Grading of Evidence. Australasian Language Technology Association Workshop. 2021.

Lakamana S, Sarker A. Tracking the COVID-19 outbreak in India via Twitter. American Medical Informatics Association Annual Symposium. 2021.

Sarker A. Obtaining insights about nonmedical use of prescription medications from social media via natural language processing. ICWSM Workshops. 2021.

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.

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, 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.

Jarad H, Yang J, Sarker A. Understanding Characteristics Of Users With Signs Of Opioid Misuse On Twitter (Preprint). 2020.

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.

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).

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.

Gonzalez-Hernandez G, Sarker A, O’Connor K, Greene C, Liu H. Advances in Text Mining and Visualization for Precision Medicine. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 2020.

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.

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..

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).

Yang Y, Al-garadi M, Hogg-Bremer W, Zhu J, Grande D, Sarker A. Developing an automatic pipeline for analyzing chatter about health services from social media: A case study for Medicaid. medRxiv. 2020.

Sarker A. COVID-19 Twitter Word2Vec Model. 2020.

Al-garadi M, Yang Y, Lakamana S, Lin J, Li S, Xie A, Hogg-Bremer W, Torres M, Banerjee I, Sarker A. Automatic Breast Cancer Survivor Detection from Social Media for Studying Latent Factors Affecting Treatment Success. medRxiv. 2020.

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.

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.

Sarker A, Al-garadi M, Yang Y, Choi JD, Quyyumi A, Martin GS. Patient-oriented natural language processing: Defining a new paradigm for research and development to facilitate adoption and utilization by medical experts (Preprint). 2020.

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.

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.

Al-garadi M, Yang Y, Lakamana S, Sarker A. A Text Classification Approach for the Automatic Detection of Twitter Posts Containing Self-reported COVID-19 Symptoms. 2020.

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.

Graves R, Sarker A, Al-garadi M, Yang Y, Love J, O’Connor K, Gonzalez-Hernandez G, Perrone J. Effective buprenorphine use and tapering strategies: Endorsements and insights by people in recovery from opioid use disorder on a Reddit forum. bioRxiv. 2019.

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, 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.

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.

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.

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.

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.

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.

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.

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.

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.

Weissenbacher D, Sarker A, Klein A, O’Connor K, Magge A, Gonzalez-Hernandez G. Deep Neural Networks Ensemble for Detecting Tweets Mentioning Medications. 2019.

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.

Klein A, Sarker A, Cai H, Weissenbacher D, 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. Journal of Biomedical Informatics. 2018.

Sarker A, Belousov M, Friedrichs J, Hakala K, Kiritchenko S, Mehryary F, Han S, Tran T, Rios A, Kavuluru R, Bruijn Bd, Ginter F, Mahata D, Mohammad SM, Nenadic G, 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. Medical Informatics Assoc.. 2018.

Smith K, Golder S, Sarker A, Loke Y, O’Connor K, Gonzalez-Hernandez G. Methods to Compare Adverse Events in Twitter to FAERS, Drug Information Databases, and Systematic Reviews: Proof of Concept with Adalimumab. Drug Safety. 2018.

Sarker A, Gonzalez-Hernandez G. An unsupervised and customizable misspelling generator for mining noisy health-related text sources. Journal of Biomedical Informatics. 2018.

Magge A, Weissenbacher D, Sarker A, Scotch M, Gonzalez-Hernandez G. Deep neural networks and distant supervision for geographic location mention extraction. Bioinform.. 2018.

Rouhizadeh M, Magge A, Klein A, Sarker A, Gonzalez G. A Rule-based Approach to Determining Pregnancy Timeframe from Contextual Social Media Postings. Digital Humanities Conference. 2018.

Paul MJ, Sarker A, Brownstein J, Nikfarjam A, Scotch M, Smith KL, Gonzalez-Hernandez G. Session Introduction. Pacific Symposium on Biocomputing. 2018.

Klein A, Sarker A, Cai H, Weissenbacher D, O’Connor K, Upshur A. Detecting Birth Defects on Twitter: Annotation Guidelines. 2018.

Sarker A, Chandrashekar P, Magge A, Cai H, Klein A, Gonzalez G. Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis. Journal of Medical Internet Research. 2017.

Sarker A. A customizable pipeline for social media text normalization. Social Network Analysis and Mining. 2017.

Sarker A, Gonzalez G. HLP@UPenn at SemEval-2017 Task 4A: A simple, self-optimizing text classification system combining dense and sparse vectors. International Workshop on Semantic Evaluation. 2017.

Sarker A, Magge A, Sharma A. Dermatologic concerns communicated through Twitter. International Journal of Dermatology. 2017.

González-Hernández G, Sarker A, O'Connor K, Savova G. Capturing the Patient’s Perspective: a Review of Advances in Natural Language Processing of Health-Related Text. Yearbook of Medical Informatics. 2017.

Klein A, Sarker A, Rouhizadeh M, O’Connor K, Gonzalez G. Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System. Workshop on Biomedical Natural Language Processing. 2017.

Weissenbacher D, Sarker A, Tahsin T, Scotch M, Gonzalez G. Extracting geographic locations from the literature for virus phylogeography using supervised and distant supervision methods. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. 2017.

Sarker A, Aliod DM, Paris C. Automated text summarisation and evidence-based medicine: A survey of two domains. arXiv.org. 2017.

Chandrashekar P, Magge A, Sarker A, Gonzalez G. Social media mining for identification and exploration of health-related information from pregnant women. arXiv.org. 2017.

Sarker A, Malone D, Gonzalez G. Authors’ Reply to Jouanjus and Colleagues’ Comment on “Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter”. Drug Safety. 2017.

Klein A, Sarker A, Rouhizadeh M, O’Connor K, Gonzalez G, Annotators, Upshur A. Detecting Personal Medication Intake in Twitter: Annotation Guidelines. 2017.

Emadzadeh E, Sarker A, Nikfarjam A, Gonzalez-Hernandez G. Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology. American Medical Informatics Association Annual Symposium. 2017.

Sarker A, Gonzalez G. Overview of the Second Social Media Mining for Health (SMM4H) Shared Tasks at AMIA 2017. SMM4H@AMIA. 2017.

Sarker A, Gonzalez G. Data, tools and resources for mining social media drug chatter. BioTxtM@COLING 2016. 2016.

Sarker A, Gonzalez G. A corpus for mining drug-related knowledge from Twitter chatter: Language models and their utilities. Data in Brief. 2016.

Chokor A, Sarker A, Gonzalez G. Mining the Web for Pharmacovigilance: the Case Study of Duloxetine and Venlafaxine. arXiv.org. 2016.

Korkontzelos I, Nikfarjam A, Shardlow M, Sarker A, Ananiadou S, Gonzalez-Hernandez G. Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts. Journal of Biomedical Informatics. 2016.

Sarker A. Automated Extraction of Number of Subjects in Randomised Controlled Trials. arXiv.org. 2016.

Sarker A, Gonzalez G. DiegoLab16 at SemEval-2016 Task 4: Sentiment Analysis in Twitter using Centroids, Clusters, and Sentiment Lexicons. International Workshop on Semantic Evaluation. 2016.

Sarker A, Aliod DM, Paris C. Query-oriented evidence extraction to support evidence-based medicine practice. Journal of Biomedical Informatics. 2016.

Sarker A, Nikfarjam A, Gonzalez-Hernandez G. Social Media Mining Shared Task Workshop. Pacific Symposium on Biocomputing. 2016.

Sarker A, O’Connor K, Ginn RE, Scotch M, Smith K, Malone D, Gonzalez G. Social Media Mining for Toxicovigilance: Automatic Monitoring of Prescription Medication Abuse from Twitter. Drug Safety. 2016.

Tal, Lorberbaum, Sampson K, Woosley R, Kass R, Tatonetti N, Freifeld C, John S, Brownstein, Menone C, Bao W, Filice RW, Dasgupta N, Sarker A, O’Connor KL, Ginn RE, Scotch M, Malone D, Gonzalez G, Blume H, Donath F, André, Warnke, Schug B, Megan E, Clowse B, Feldman S, Isaacs J, Kimball A, Warren R, Daniel, Xibillé, Frazier D, Geier J, Proulx J, Marren A. Acknowledgement to Referees. Drug Safety. 2016.

Aliod DM, Santiago-Martínez ME, Sarker A, Paris C. A corpus for research in text processing for evidence based medicine. Language Resources and Evaluation. 2015.

Sullivan R, Sarker A, O’Connor K, Goodin A, Karlsrud M, Gonzalez G. Finding Potentially Unsafe Nutritional Supplements from User Reviews with Topic Modeling. Pacific Symposium on Biocomputing. 2015.

Sarker A, Aliod DM, Paris C. Automatic evidence quality prediction to support evidence-based decision making. Artif. Intell. Medicine. 2015.

Sarker A, Nikfarjam A, Weissenbacher D, Gonzalez-Hernandez G. DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter. International Workshop on Semantic Evaluation. 2015.

Sarker A, Ginn RE, Nikfarjam A, O’Connor K, Smith KL, Jayaraman S, Upadhaya T, Gonzalez-Hernandez G. Utilizing social media data for pharmacovigilance: A review. Journal of Biomedical Informatics. 2015.

Nikfarjam A, Sarker A, O’Connor K, Ginn RE, Gonzalez-Hernandez G. Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features. J. Am. Medical Informatics Assoc.. 2015.

Sarker A, Gonzalez G. Portable automatic text classification for adverse drug reaction detection via multi-corpus training. Journal of Biomedical Informatics. 2015.

O’Connor K, Nikfarjam A, Ginn RE, Pimpalkhute P, Sarker A, Smith KL, Gonzalez-Hernandez G. Pharmacovigilance on Twitter? Mining Tweets for Adverse Drug Reactions. American Medical Informatics Association Annual Symposium. 2014.

Aliod DM, Jones C, Sarker A. Impact of Citing Papers for Summarisation of Clinical Documents. Australasian Language Technology Association Workshop. 2014.

Sarker A, Aliod DM, Paris C. Automatic Prediction of Evidence-based Recommendations via Sentence-level Polarity Classification. International Joint Conference on Natural Language Processing. 2013.

Sarker A, Aliod DM, Paris C. An Approach for Query-Focused Text Summarisation for Evidence Based Medicine. Conference on Artificial Intelligence in Medicine in Europe. 2013.

Sarker A, Mollá-Aliod D, Paris C. An Approach for automatic multi-label classification of medical sentences. 2013.

Sarker A, Aliod DM, Paris C. Towards Two-step Multi-document Summarisation for Evidence Based Medicine: A Quantitative Analysis. Australasian Language Technology Association Workshop. 2012.

Sarker A, Molla D, Paris C. Extractive summarisation of medical documents using domain knowledge and corpus statistics.. Australasian Medical Journal. 2012.

Sarker A, Aliod DM, Paris C. Extractive evidence based medicine summarisation based on sentence-specific statistics. 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS). 2012.

Sarker A, Molla D, Paris C. EXTRACTIVE SUMMARISATION OF MEDICAL DOCUMENTS. 2012.

Aliod DM, Sarker A. Automatic Grading of Evidence: the 2011 ALTA Shared Task. Australasian Language Technology Association Workshop. 2011.

Sarker A, Aliod DM, Paris C. Outcome Polarity Identification of Medical Papers. Australasian Language Technology Association Workshop. 2011.

Sarker A, Hamey L. Improved Reconstruction of Flutter Shutter Images for Motion Blur Reduction. 2010 International Conference on Digital Image Computing: Techniques and Applications. 2010.

Sarker A, Mollá-Aliod D, Paris C. Towards automatic grading of evidence. 2010.

Sarker A, Mollá-Aliod D. A rule-based approach for automatic identification of publication types of medical papers. Australasian Document Computing Symposium. 2010.

Klein A, Gryboski L, Jana S, Khademi S, Lopez-Garcia G, Mazzotti DR, Onishi T, Powell JM, Raithel L, Rajwal S, Roller R, Sarker A, Sinha M, Thomas P, Tutubalina E, Xu D, Zweigenbaum P, Gonzalez-Hernandez G. Overview of the 10 th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Shared Tasks at ICWSM 2025.