Published on in Vol 19, No 10 (2017): October

Preprints (earlier versions) of this paper are available at, first published .
Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis

Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis

Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis


  1. Golder S, Chiuve S, Weissenbacher D, Klein A, O’Connor K, Bland M, Malin M, Bhattacharya M, Scarazzini L, Gonzalez-Hernandez G. Pharmacoepidemiologic Evaluation of Birth Defects from Health-Related Postings in Social Media During Pregnancy. Drug Safety 2019;42(3):389 View
  2. Klein A, Gonzalez-Hernandez G. An annotated data set for identifying women reporting adverse pregnancy outcomes on Twitter. Data in Brief 2020;32:106249 View
  3. 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;87:68 View
  4. Sarker A, Gonzalez-Hernandez G, Ruan Y, Perrone J. Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter. JAMA Network Open 2019;2(11):e1914672 View
  5. Klein A, Cai H, Weissenbacher D, Levine L, Gonzalez-Hernandez G. A natural language processing pipeline to advance the use of Twitter data for digital epidemiology of adverse pregnancy outcomes. Journal of Biomedical Informatics 2020;112:100076 View
  6. Weissenbacher D, Sarker A, Klein A, O’Connor K, Magge A, Gonzalez-Hernandez G. Deep neural networks ensemble for detecting medication mentions in tweets. Journal of the American Medical Informatics Association 2019;26(12):1618 View
  7. Rezaallah B, Lewis D, Pierce C, Zeilhofer H, Berg B. Social Media Surveillance of Multiple Sclerosis Medications Used During Pregnancy and Breastfeeding: Content Analysis. Journal of Medical Internet Research 2019;21(8):e13003 View
  8. Klein A, Sarker A, Weissenbacher D, Gonzalez-Hernandez G. Towards scaling Twitter for digital epidemiology of birth defects. npj Digital Medicine 2019;2(1) View
  9. Nikfarjam A, Ransohoff J, Callahan A, Polony V, Shah N. Profiling off-label prescriptions in cancer treatment using social health networks. JAMIA Open 2019;2(3):301 View
  10. Israni S, Matheny M, Matlow R, Whicher D. Equity, Inclusivity, and Innovative Digital Technologies to Improve Adolescent and Young Adult Health. Journal of Adolescent Health 2020;67(2):S4 View
  11. Guntuku S, Gaulton J, Seltzer E, Asch D, Srinivas S, Ungar L, Mancheno C, Klinger E, Merchant R. Studying social media language changes associated with pregnancy status, trimester, and parity from medical records. Women's Health 2020;16:174550652094939 View
  12. Pang R, Dormanesh A, Hoang Y, Chu M, Allem J. Twitter Posts About Cannabis Use During Pregnancy and Postpartum:A Content Analysis. Substance Use & Misuse 2021;56(7):1074 View
  13. Yang Y, Al-Garadi M, Love J, Perrone J, Sarker A. Automatic gender detection in Twitter profiles for health-related cohort studies. JAMIA Open 2021;4(2) View
  14. Pimenta J, Painter J, Gemzoe K, Levy R, Powell M, Meizlik P, Powell G. Identifying Barriers to Enrollment in Patient Pregnancy Registries: Building Evidence Through Crowdsourcing. JMIR Formative Research 2022;6(5):e30573 View
  15. Sarker A, Al-Garadi M, Ge Y, Nataraj N, Jones C, Sumner S. Signals of increasing co-use of stimulants and opioids from online drug forum data. Harm Reduction Journal 2022;19(1) View
  16. Klein A, O'Connor K, Levine L, Gonzalez-Hernandez G. Using Twitter Data for Cohort Studies of Drug Safety in Pregnancy: Proof-of-concept With β-Blockers. JMIR Formative Research 2022;6(6):e36771 View
  17. Klein A, Kunatharaju S, O'Connor K, Gonzalez-Hernandez G. Pregex: Rule-Based Detection and Extraction of Twitter Data in Pregnancy. Journal of Medical Internet Research 2023;25:e40569 View
  18. Klein A, O'Connor K, Gonzalez-Hernandez G. Toward Using Twitter Data to Monitor COVID-19 Vaccine Safety in Pregnancy: Proof-of-Concept Study of Cohort Identification. JMIR Formative Research 2022;6(1):e33792 View
  19. Koss J, Rheinlaender A, Truebel H, Bohnet-Joschko S. Social media mining in drug development—Fundamentals and use cases. Drug Discovery Today 2021;26(12):2871 View
  20. Schmidt A, Rodriguez-Esteban R, Gottowik J, Leddin M. Applications of quantitative social media listening to patient-centric drug development. Drug Discovery Today 2022;27(5):1523 View
  21. Klein A, Magge A, Gonzalez-Hernandez G, Pegoraro C. ReportAGE: Automatically extracting the exact age of Twitter users based on self-reports in tweets. PLOS ONE 2022;17(1):e0262087 View
  22. Weissenbacher D, O’Connor K, Rawal S, Zhang Y, Tsai R, Miller T, Xu D, Anderson C, Liu B, Han Q, Zhang J, Kulev I, Köprü B, Rodriguez-Esteban R, Ozkirimli E, Ayach A, Roller R, Piccolo S, Han P, Vydiswaran V, Tekumalla R, Banda J, Bagherzadeh P, Bergler S, Silva J, Almeida T, Martinez P, Rivera-Zavala R, Wang C, Dai H, Alberto Robles Hernandez L, Gonzalez-Hernandez G. Automatic Extraction of Medication Mentions from Tweets—Overview of the BioCreative VII Shared Task 3 Competition. Database 2023;2023 View
  23. Gerbier E, Panchaud A. Specialty grand challenge editorial innovative approaches for pharmacoepidemiologic research in pregnancy: Shifting the paradigm of Thalidomide’s impact on pregnant women. Frontiers in Drug Safety and Regulation 2023;3 View
  24. Golder S, McRobbie‐Johnson A, Klein A, Polite F, Gonzalez Hernandez G. Social media and COVID‐19 vaccination hesitancy during pregnancy: a mixed methods analysis. BJOG: An International Journal of Obstetrics & Gynaecology 2023;130(7):750 View
  25. Patel N, Pokras S, Ferma J, Casey V, Manuguid F, Culver K, Bauer S. Treatment Patterns and Outcomes in Patients with Metastatic Synovial Sarcoma in France, Germany, Italy, Spain and the UK. Future Oncology 2023;19(18):1261 View
  26. Sillis L, Foulon V, Allegaert K, Bogaerts A, De Vos M, Hompes T, Smits A, Van Calsteren K, Verbakel J, Ceulemans M. Development and design of the BELpREG registration system for the collection of real-world data on medication use in pregnancy and mother-infant outcomes. Frontiers in Drug Safety and Regulation 2023;3 View
  27. Torres-Silva E, Rúa S, Giraldo-Forero A, Durango M, Flórez-Arango J, Orozco-Duque A. Classification of Severe Maternal Morbidity from Electronic Health Records Written in Spanish Using Natural Language Processing. Applied Sciences 2023;13(19):10725 View
  28. Sarker A, Lakamana S, Guo Y, Ge Y, Leslie A, Okunromade O, Gonzalez-Polledo E, Perrone J, McKenzie-Brown A. #ChronicPain: Automated Building of a Chronic Pain Cohort from Twitter Using Machine Learning. Health Data Science 2023;3 View
  29. Sarsam S, Alzahrani A, Al-Samarraie H. Early-stage pregnancy recognition on microblogs: Machine learning and lexicon-based approaches. Heliyon 2023;9(9):e20132 View
  30. Golder S, Klein A, O'Connor K, Wang Y, Gonzalez‐Hernandez G. Social Media Posts on Statins: What Can We Learn About Patient Experiences and Perspectives?. Journal of the American Heart Association 2024;13(7) View
  31. Wu D, Shead H, Ren Y, Raynor P, Tao Y, Villanueva H, Hung P, Li X, Brookshire R, Eichelberger K, Guille C, Litwin A, Olatosi B. Uncovering the Complexity of Perinatal Polysubstance Use Patterns on X: A Mixed Methods Approach (Preprint). Journal of Medical Internet Research 2023 View

Books/Policy Documents

  1. Al-Garadi M, Yang Y, Lakamana S, Lin J, Li S, Xie A, Hogg-Bremer W, Torres M, Banerjee I, Sarker A. Artificial Intelligence in Medicine. View
  2. Helbich M, Zeng Y, Sarker A. . View
  3. Sarker A. Natural Language Processing in Biomedicine. View