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: X 2020;8:100076 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

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