| Natural Language Annotation for Machine Learning J Pustejovsky, A Stubbs O'Reilly Media, Incorporated, 2012 | 606 | 2012 |
| 2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records S Henry, K Buchan, M Filannino, A Stubbs, O Uzuner Journal of the American Medical Informatics Association 27 (1), 3-12, 2020 | 299 | 2020 |
| Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1 A Stubbs, C Kotfila, Ö Uzuner Journal of biomedical informatics 58, S11-S19, 2015 | 289 | 2015 |
| Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus A Stubbs, Ö Uzuner Journal of biomedical informatics 58, S20-S29, 2015 | 280 | 2015 |
| Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2 A Stubbs, C Kotfila, H Xu, Ö Uzuner Journal of biomedical informatics 58, S67-S77, 2015 | 160 | 2015 |
| De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID Shared Tasks Track 1 A Stubbs, M Filannino, Ö Uzuner Journal of Biomedical Informatics, 2017 | 123 | 2017 |
| Increasing informativeness in temporal annotation J Pustejovsky, A Stubbs Proceedings of the 5th Linguistic Annotation Workshop, 152-160, 2011 | 84 | 2011 |
| Cohort selection for clinical trials: n2c2 2018 shared task track 1 A Stubbs, M Filannino, E Soysal, S Henry, Ö Uzuner Journal of the American Medical Informatics Association 26 (11), 1163-1171, 2019 | 82 | 2019 |
| MAE and MAI: lightweight annotation and adjudication tools A Stubbs Proceedings of the 5th Linguistic Annotation Workshop, 129-133, 2011 | 82 | 2011 |
| Annotating risk factors for heart disease in clinical narratives for diabetic patients A Stubbs, Ö Uzuner Journal of biomedical informatics 58, S78-S91, 2015 | 80 | 2015 |
| Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks Ö Uzuner, A Stubbs Journal of biomedical informatics 58 (Suppl), S1, 2015 | 76 | 2015 |
| Creation of a new longitudinal corpus of clinical narratives V Kumar, A Stubbs, S Shaw, Ö Uzuner Journal of biomedical informatics 58, S6-S10, 2015 | 53 | 2015 |
| Ease of adoption of clinical natural language processing software: an evaluation of five systems K Zheng, VGV Vydiswaran, Y Liu, Y Wang, A Stubbs, Ö Uzuner, ... Journal of biomedical informatics 58, S189-S196, 2015 | 44 | 2015 |
| Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID Shared Tasks Track 2 M Filannino, A Stubbs, Ö Uzuner Journal of Biomedical Informatics, 2017 | 40 | 2017 |
| A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatry. Ö Uzuner, A Stubbs, M Filannino Journal of biomedical informatics 75, S1-S3, 2017 | 20 | 2017 |
| Challenges in Synthesizing Surrogate PHI in Narrative EMRs A Stubbs, Ö Uzuner, C Kotfila, I Goldstein, P Szolovits Medical Data Privacy Handbook, 717-735, 2015 | 19 | 2015 |
| Advancing the state of the art in automatic extraction of adverse drug events from narratives Ö Uzuner, A Stubbs, L Lenert Journal of the American Medical Informatics Association 27 (1), 1-2, 2020 | 17 | 2020 |
| A Methodology for Using Professional Knowledge in Corpus Annotation AC Stubbs Brandeis University, 2013 | 17 | 2013 |
| De-identification of medical records through annotation A Stubbs, Ö Uzuner Handbook of Linguistic Annotation, 1433-1459, 2017 | 14 | 2017 |
| Combining independent syntactic and semantic annotation schemes M Verhagen, A Stubbs, J Pustejovsky Proceedings of the Linguistic Annotation Workshop, 109-112, 2007 | 12 | 2007 |
Ozlem UzunerGeorge Mason UniversityVerified email at gmu.edu
