Sarker Lab Emory University

Publications

2024

Can Adverse Childhood Experiences Predict Chronic Health Conditions? Development of Trauma-Informed, Explainable Machine Learning Models
Hanin B. Afzal, Tasfia Jahangir, Yiyang Mei, Annabelle Madden, Abeed Sarker, Sangmi Kim
Jan 2024         Cite
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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

2023

Public Perceptions About Monkeypox on Twitter: Thematic Analysis
Abimbola Leslie, Omolola Okunromade, Abeed Sarker
Nov 2023         Cite
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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.
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) Shared Tasks at the AMIA 2023 Annual Symposium
Ari Z Klein, Juan M Banda, Yuting Guo, Ana Lucia Schmidt, Dongfang Xu, Jesus Ivan Flores Amaro, Raul Rodriguez-Esteban, Abeed Sarker, Graciela Gonzalez-Hernandez
Nov 2023         Cite
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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.
Interface of Gun Violence and Intimate Partner Violence: Survivors’ Narrative on Social Media
Grace Landram, Ayush Kothari, Sahithi Lakamana, Abeed Sarker, Sangmi Kim
Nov 2023         Cite
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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.
An Aspect-Level Sentiment Analysis Dataset for Therapies on Twitter
Yuting Guo, Sudeshna Das, Sahithi Lakamana, Abeed Sarker
Oct 2023         Cite
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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.
Emerging Trends in Self-Harm: Sodium Nitrite and an Online Suicide Community
Sudeshna Das, Drew Walker, Swati Rajwal, Sahithi Lakamana, Steven A Sumner, Karin A Mack, Wojciech Kaczkowski, Abeed Sarker
Oct 2023         Cite
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TBD
A Large Language Model-Based Generative Natural Language Processing Framework Finetuned on Clinical Notes Accurately Extracts Headache Frequency from Electronic Health Records
Chia-Chun Chiang, Man Luo, Gina Dumkrieger, Shubham Trivedi, Yi-Chieh Chen, Chieh-Ju Chao, Todd J Schwedt, Abeed Sarker, Imon Banerjee
Oct 2023         Cite
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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.
Automatic Detection of Twitter Users Who Express Chronic Stress Experiences via Supervised Machine Learning and Natural Language Processing
Yuan-Chi Yang, Angel Xie, Sangmi Kim, Jessica Hair, Mohammed Al-Garadi, Abeed Sarker
Sep 2023         Cite
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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
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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
Few-shot learning for medical text: A review of advances, trends, and opportunities
Yao Ge, Yuting Guo, Sudeshna Das, Mohammed Ali Al-Garadi, Abeed Sarker
Jul 2023         Cite
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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
ChronicPain: Automated Building of a Chronic Pain Cohort from Twitter Using Machine Learning
Abeed Sarker, Sahithi Lakamana, Yuting Guo, Yao Ge, Abimbola Leslie, Omolola Okunromade, Elena Gonzalez-Polledo, Jeanmarie Perrone, Anne Marie McKenzie-Brown
Jul 2023         Cite
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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.
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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
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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.
Characteristics of Intimate Partner Violence and Survivor’s Needs During the COVID-19 Pandemic: Insights From Subreddits Related to Intimate Partner Violence
Sangmi Kim, Elise Warren, Tasfia Jahangir, Mohammed Al-Garadi, Yuting Guo, Yuan-Chi Yang, Sahithi Lakamana, Abeed Sarker
Apr 2023         Cite
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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
An analysis of cannabinoid hyperemesis syndrome Reddit posts and themes
Rachel S. Wightman, Jeanmarie Perrone, Alexandra B. Collins, Sahithi Lakamana, Abeed Sarker
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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
Barriers to Opioid Use Disorder Treatment: A Comparison of Self-Reported Information from Social Media with Barriers Found in Literature
Whitney Bremer, Karma Plaisance, Drew Walker, Matthew Bonn, Jennifer S Love, Jeanmarie Perrone, Abeed Sarker
Apr 2023         Cite
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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
Can Accurate Demographic Information About People Who Use Prescription Medications Nonmedically Be Derived From Twitter?
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S Love, Hannah LF Cooper, Jeanmarie Perrone, Abeed Sarker
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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
Automatic Detection of Intimate Partner Violence Victims from Social Media for Proactive Delivery of Support
Yuting Guo, Sangmi Kim, Elise Warren, Yuan-Chi Yang, Sahithi Lakamana, Abeed Sarker
Mar 2023         Cite
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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.
The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection
Abeed Sarker, Sahithi Lakamana, Ruqi Liao, Aamir Abbas, Yuan-Chi Yang, Mohammed Al-Garadi
Mar 2023         Cite
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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
Self-reported Xylazine Experiences: A Mixed Methods Study of Reddit Subscribers
Anthony Spadaro, Karen O’ Connor, Sahithi Lakamana, Abeed Sarker, Rachel Wightman, Jennifer S Love, Jeanmarie Perrone
Mar 2023         Cite
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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
Supervised Text Classification System Detects Fontan Patients in Electronic Records With Higher Accuracy Than ICD Codes
Yuting Guo, Mohammed A Al‐Garadi, Wendy M Book, Lindsey C Ivey, Fred H Rodriguez III, Cheryl L Raskind‐Hood, Chad Robichaux, Abeed Sarker
Mar 2023         Cite
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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
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media
Yuting Guo, Swati Rajwal, Sahithi Lakamana, Chia-Chun Chiang, Paul C Menell, ..., Wan-Ju Chao, Chieh-Ju Chao, Todd J Schwedt, Imon Banerjee, Abeed Sarker
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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.

2022

Evidence of the Emergence of Illicit Benzodiazepines From Online Drug Forums
Abeed Sarker, Mohammed Ali Al-Garadi, Yao Ge, Nisha Nataraj, Londell McGlone, Christopher M Jones, Steven A Sumner
Dec 2022         Cite
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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
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media
Yuting Guo, Swati Rajwal, Sahithi Lakamana, Chia-Chun Chiang, Paul C Menell, ..., Wan-Ju Chao, Chieh-Ju Chao, Todd J Schwedt, Imon Banerjee, Abeed Sarker
Dec 2022         Cite
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Guo Y, Rajwal S, Lakamana S, Chiang C-C, Menell PC, Shahid AH, et al. Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media [Internet]. arXiv; 2022. Available from: https://arxiv.org/abs/2212.12454
Evidence of the Emergence of Illicit Benzodiazepines From Online Drug Forums
Abeed Sarker, Mohammed Ali Al-Garadi, Yao Ge, Nisha Nataraj, Londell McGlone, Christopher M Jones, Steven A Sumner
Dec 2022         Cite
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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
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media
Yuting Guo, Swati Rajwal, Sahithi Lakamana, Chia-Chun Chiang, Paul C Menell, ..., Wan-Ju Chao, Chieh-Ju Chao, Todd J Schwedt, Imon Banerjee, Abeed Sarker
Dec 2022         Cite
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Guo Y, Rajwal S, Lakamana S, Chiang C-C, Menell PC, Shahid AH, et al. Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media [Internet]. arXiv; 2022. Available from: https://arxiv.org/abs/2212.12454
A Supervised Classification Model Detects Fontan Patients Based on Clinical Notes With Higher Accuracy Than ICD Codes
Yuting Guo, Mohammed A Al-Garadi, Wendy M Book, Lindsey Ivey, Fred H Rodriguez, Cheryl L Raskind-Hood, Abeed Sarker
Nov 2022         Cite
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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;
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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
Self Reported Xylazine Exposure and Experiences: A Mixed Methods Study of Reddit Users
Anthony Spadaro, Abeed Sarker, Jeanmarie Perrone
Nov 2022         Cite
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Anthony Spadaro, Abeed Sarker, and Jeanmarie Perrone. Self Reported Xylazine Exposure and Experiences: A Mixed Methods Study of Reddit Users. In AMERSA;
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Sarker, Abeed. (2022). Social media mining for toxicovigilance of prescription medications: Progress, challenges and future work. 10.13140/RG.2.2.35518.36168.
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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
A Supervised Classification Model Detects Fontan Patients Based on Clinical Notes With Higher Accuracy Than ICD Codes
Yuting Guo, Mohammed A Al-Garadi, Wendy M Book, Lindsey Ivey, Fred H Rodriguez, Cheryl L Raskind-Hood, Abeed Sarker
Nov 2022         Cite
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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;
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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
Self Reported Xylazine Exposure and Experiences: A Mixed Methods Study of Reddit Users
Anthony Spadaro, Abeed Sarker, Jeanmarie Perrone
Nov 2022         Cite
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Anthony Spadaro, Abeed Sarker, and Jeanmarie Perrone. Self Reported Xylazine Exposure and Experiences: A Mixed Methods Study of Reddit Users. In AMERSA;
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Sarker, Abeed. (2022). Social media mining for toxicovigilance of prescription medications: Progress, challenges and future work. 10.13140/RG.2.2.35518.36168.
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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
Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022
Davy Weissenbacher, Juan Banda, Vera Davydova, Darryl Estrada Zavala, Luis Gasco Sánchez, ..., Raul Rodriguez-Esteban, Abeed Sarker, Lucia Schmidt, Elena Tutubalina, Graciela Gonzalez-Hernandez
Oct 2022         Cite
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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.
Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022
Davy Weissenbacher, Juan Banda, Vera Davydova, Darryl Estrada Zavala, Luis Gasco Sánchez, ..., Raul Rodriguez-Esteban, Abeed Sarker, Lucia Schmidt, Elena Tutubalina, Graciela Gonzalez-Hernandez
Oct 2022         Cite
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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.
Natural Language Model for Automatic Identification of Intimate Partner Violence Reports From Twitter
Yuting Guo, Yao Ge, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker
Sep 2022         Cite
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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
Yuting Guo, Yao Ge, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker
Sep 2022         Cite
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Mohammed Ali Al-Garadi, Sangmi Kim, Yuting Guo, Elise Warren, Yuan-Chi Yang, Sahithi Lakamana, Abeed Sarker
Comparison of Pretraining Models and Strategies for Health-Related Social Media Text Classification
Yuting Guo, Yao Ge, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker
Aug 2022         Cite
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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
Comparison of Pretraining Models and Strategies for Health-Related Social Media Text Classification
Yuting Guo, Yao Ge, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker
Aug 2022         Cite
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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
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.
Thematic Analysis of Reddit Content About Buprenorphine-Naloxone Using Manual Annotation and Natural Language Processing Techniques
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.
A Comparison of Few-Shot and Traditional Named Entity Recognition Models for Medical Text
Yao Ge, Yuting Guo, Yuna-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker
Jun 2022         Cite
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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.
Building a Social Media Platform for Surveillance and Support of Intimate Partner Violence and Its Victims During COVID-19 and Beyond: Preliminary Findings
Sangmi Kim, Mohammed Al-Garadi, Yuting Guo, Elise Warren, Kaylee Stephenson, Yuan-Chi Yang, Abeed Sarker
Jun 2022         Cite
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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.
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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
A Comparison of Few-Shot and Traditional Named Entity Recognition Models for Medical Text
Yao Ge, Yuting Guo, Yuna-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker
Jun 2022         Cite
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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.
Building a Social Media Platform for Surveillance and Support of Intimate Partner Violence and Its Victims During COVID-19 and Beyond: Preliminary Findings
Sangmi Kim, Mohammed Al-Garadi, Yuting Guo, Elise Warren, Kaylee Stephenson, Yuan-Chi Yang, Abeed Sarker
Jun 2022         Cite
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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.
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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
Early Detection Of Fraudulent Covid-19 Products From Twitter Chatter
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.
Signals of Increasing CO-Use of Stimulants and Opioids From Online Drug Forum Data
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
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Sarker, A., Torres, M., & Banerjee, I. (2022). AMIA CIC 2022
Early Detection Of Fraudulent Covid-19 Products From Twitter Chatter
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.
Signals of Increasing CO-Use of Stimulants and Opioids From Online Drug Forum Data
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
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Sarker, A., Torres, M., & Banerjee, I. (2022). AMIA CIC 2022
Can Accurate Demographic Information About People Who Use Prescription Medications Non-medically Be Derived From Twitter Big Data?
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.
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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
Few-shot Learning For Medical Text: A Systematic Review
Yao Ge, Yuting Guo, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker
Apr 2022         Cite
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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.
Large-Scale Social Media Analysis Reveals Emotions Associated with Nonmedical Prescription Drug Use
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.
Can Accurate Demographic Information About People Who Use Prescription Medications Non-medically Be Derived From Twitter Big Data?
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.
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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
Few-shot Learning For Medical Text: A Systematic Review
Yao Ge, Yuting Guo, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker
Apr 2022         Cite
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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.
Large-Scale Social Media Analysis Reveals Emotions Associated with Nonmedical Prescription Drug Use
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.
Automatic Identification Of Intimate Partner Violence Victims From Social Media
Mohammed Al-Garadi, Abeed Sarker, Yuting Guo, Elise Warren, Yuan-Chi Yang, Sangmi Kim
Mar 2022         Cite
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Al-Garadi M, Sarker A, Guo Y, et al. Automatic identification of intimate partner violence victims from social media. Injury Prevention. 2022;28:A48.
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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
Deepluenza: Deep Learning for Influenza Detection from Twitter
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.
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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.
Automatic Identification Of Intimate Partner Violence Victims From Social Media
Mohammed Al-Garadi, Abeed Sarker, Yuting Guo, Elise Warren, Yuan-Chi Yang, Sangmi Kim
Mar 2022         Cite
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Al-Garadi M, Sarker A, Guo Y, et al. Automatic identification of intimate partner violence victims from social media. Injury Prevention. 2022;28:A48.
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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
Deepluenza: Deep Learning for Influenza Detection from Twitter
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.
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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.
Reddit Discussions About Buprenorphine Associated Precipitated Withdrawal In The Era Of Fentanyl
Anthony Spadaro, Abeed Sarker, Whitney Hogg-Bremer, Jennifer S Love, Nicole O’Donnell, Lewis S Nelson, Jeanmarie Perrone
Feb 2022         Cite
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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.
Reddit Discussions About Buprenorphine Associated Precipitated Withdrawal In The Era Of Fentanyl
Anthony Spadaro, Abeed Sarker, Whitney Hogg-Bremer, Jennifer S Love, Nicole O’Donnell, Lewis S Nelson, Jeanmarie Perrone
Feb 2022         Cite
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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
Abeed Sarker, Mohammed Ali Al-Garadi, Yao Ge, Nisha Nataraj, Christopher M Jones, Steven A Sumner
Jan 2022         Cite
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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.
Trends in Co-mention of Stimulants and Opioids: A Natural Language Processing Driven Analysis of Reddit Forums
Abeed Sarker, Mohammed Ali Al-Garadi, Yao Ge, Nisha Nataraj, Christopher M Jones, Steven A Sumner
Jan 2022         Cite
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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

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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
Rachel Lynn Graves, Jeanmarie Perrone, Mohammed Ali Al-Garadi, Yuan-Chi Yang, Jennifer S Love, Karen O’Connor, Graciela Gonzalez-Hernandez, Abeed Sarker
Dec 2021         Cite
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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
Abeed Sarker, Mohammed Ali Al-Garadi, Yuan-Chi Yang, Jinho Choi, Arshed A Quyyumi, Greg S Martin
Sep 2021         Cite
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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
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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
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Jennifer S. Love, Jeanmarie Perrone, Abeed Sarker
Jun 2021         Cite
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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.
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021
Arjun Magge, Ari Z. Klein, Antonio Miranda-Escalada, Mohammad Ali Al-Garadi, Ilseyar Alimova, ..., Elena Tutubalina, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez-Hernandez
Jun 2021         Cite
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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.
Pre-Trained Transformer-Based Classification and Span Detection Models for Social Media Health Applications
Yuting Guo, Yao Ge, Mohammad Ali Al-Garadi, Abeed Sarker
Jun 2021         Cite
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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.
Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid
Yuan-Chi Yang, Mohammed Ali Al-Garadi, Whitney Bremer, Jane M. Zhu, David Grande, Abeed Sarker
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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.
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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).
Methadone and Suboxone® Mentions on Twitter: Thematic and Sentiment Analysis
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.
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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.
Syndromic Surveillance for COVID-19 from Reddit using Multi-Platform Lexicons
Abimbola Leslie, Sahithi Lakamana, Abeed Sarker
Mar 2021         Cite
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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).
Utilizing a Multi-Class Classification Approach to Detect Therapeutic and Recreational Misuse of Opioids on Twitter
Samah Jamal Fodeh, Mohammed Al-Garadi, Osama Elsankary, Jeanmarie Perrone, William Becker, Abeed Sarker
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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.
Text Classification Models for the Automatic Detection of Nonmedical Prescription Medication Use from Social Media
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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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.

2020

A Light-Weight Text Summarization System for Fast Access to Medical Evidence
Abeed Sarker, Yuan-Chi Yang, Mohammad Ali Al-Garadi
Dec 2020         Cite
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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.
Benchmarking of Transformer-Based Pre-Trained Models on Social Media Text Classification Datasets
Yuting Guo, Xiangjue Dong, Mohammed Ali Al-Garadi, Abeed Sarker, Cécile Paris, Diego Mollá-Aliod
Dec 2020         Cite
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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.
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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.
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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).
Utilizing a Multi-Class Classification Approach to Detect Therapeutic and Recreational Misuse of Opioids on Twitter
Samah Jamal Fodeh, Mohammad Al-Garadi, Osama Elsankary, Jeanmarie Perrone, William Becker, Abeed Sarker
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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.
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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).
Assessing Perceptions about Medications for Opioid Use Disorder and Naloxone on Twitter
Babak Tofighi, Omar El Shahawy, Andrew Segoshi, Katerine P Moreno, Beita Badiei, Abeed Sarker, Noa Krawczyk
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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..
Self-Reported COVID-19 Symptoms on Twitter: An Analysis and a Research Resource
Abeed Sarker, Sahithi Lakamana, Whitney Hogg-Bremer, Angel Xie, Mohammed Ali Al-Garadi, Yuan-Chi Yang
Aug 2020         Cite
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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.
Automatic Breast Cancer Cohort Detection from Social Media for Studying Factors Affecting Patient Centered Outcomes
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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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.
Towards Automatic Bot Detection in Twitter for Health-related Tasks
Anahita Davoudi, Ari Z. Klein, Abeed Sarker, Graciela Gonzalez-Hernandez
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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.
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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.
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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.
Buprenorphine Initiation in the Emergency Department: A Thematic Content Analysis of a #firesidetox Tweetchat
Megan Chenworth, Jeanmarie Perrone, Jennifer S. Love, Howard A. Greller, Abeed Sarker, Peter R. Chai
Jan 2020         Cite
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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.