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2020 – today
- 2020
[j13]Özlem Uzuner
, Amber Stubbs, Leslie Lenert:
Advancing the state of the art in automatic extraction of adverse drug events from narratives. J. Am. Medical Informatics Assoc. 27(1): 1-2 (2020)- [j12]Sam Henry, Kevin Buchan, Michele Filannino, Amber Stubbs, Özlem Uzuner:
2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records. J. Am. Medical Informatics Assoc. 27(1): 3-12 (2020)
2010 – 2019
- 2019
- [j11]Amber Stubbs, Özlem Uzuner:
New approaches to cohort selection. J. Am. Medical Informatics Assoc. 26(11): 1161-1162 (2019) - [j10]Amber Stubbs, Michele Filannino, Ergin Soysal, Samuel Henry, Özlem Uzuner:
Cohort selection for clinical trials: n2c2 2018 shared task track 1. J. Am. Medical Informatics Assoc. 26(11): 1163-1171 (2019) - 2018
- [j9]Michele Filannino, Amber Stubbs, Özlem Uzuner:
Corrigendum to "Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2" [J Biomed Inform. 2017 Nov;75S: S62-S70]. J. Biomed. Informatics 85: 204 (2018) - [c6]Keith J. O'Hara, Sven Anderson, David R. Musicant, Amber Stubbs, Thomas P. Way:
Team-Teaching with Colleagues in the Arts and Humanities. SIGCSE 2018: 265-266 - 2015
- [j8]Özlem Uzuner, Amber Stubbs:
Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks. J. Biomed. Informatics 58: S1-S5 (2015) - [j7]Amber Stubbs, Christopher Kotfila, Özlem Uzuner:
Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1. J. Biomed. Informatics 58: S11-S19 (2015) - [j6]Kai Zheng, V. G. Vinod Vydiswaran, Yang Liu, Yue Wang, Amber Stubbs, Özlem Uzuner, Anupama E. Gururaj, Samuel Bayer, John S. Aberdeen, Anna Rumshisky, Serguei Pakhomov, Hongfang Liu, Hua Xu:
Ease of adoption of clinical natural language processing software: An evaluation of five systems. J. Biomed. Informatics 58: S189-S196 (2015) - [j5]Amber Stubbs, Özlem Uzuner:
Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus. J. Biomed. Informatics 58: S20-S29 (2015) - [j4]Vishesh Kumar, Amber Stubbs, Stanley Y. Shaw, Özlem Uzuner:
Creation of a new longitudinal corpus of clinical narratives. J. Biomed. Informatics 58: S6-S10 (2015) - [j3]Amber Stubbs, Christopher Kotfila, Hua Xu, Özlem Uzuner:
Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2. J. Biomed. Informatics 58: S67-S77 (2015) - [j2]Amber Stubbs, Özlem Uzuner:
Annotating risk factors for heart disease in clinical narratives for diabetic patients. J. Biomed. Informatics 58: S78-S91 (2015) - [p1]Amber Stubbs, Özlem Uzuner, Christopher Kotfila, Ira Goldstein, Peter Szolovits:
Challenges in Synthesizing Surrogate PHI in Narrative EMRs. Medical Data Privacy Handbook 2015: 717-735 - 2014
- [c5]Özlem Uzuner, Meliha Yetisgen, Amber Stubbs:
Biomedical/Clinical NLP. COLING (Tutorials) 2014: 1-2 - 2013
- [j1]Özlem Uzuner, Amber Stubbs, Weiyi Sun:
Chronology of your health events: Approaches to extracting temporal relations from medical narratives. J. Biomed. Informatics 46(6): S1-S4 (2013) - 2012
- [b1]James Pustejovsky, Amber Stubbs:
Natural Language Annotation for Machine Learning - a Guide to Corpus-Building for Applications. O'Reilly 2012, ISBN 978-1-449-30666-3, pp. I-XIV, 1-326 - 2011
- [c4]Amber Stubbs:
MAE and MAI: Lightweight Annotation and Adjudication Tools. Linguistic Annotation Workshop 2011: 129-133 - [c3]James Pustejovsky, Amber Stubbs:
Increasing Informativeness in Temporal Annotation. Linguistic Annotation Workshop 2011: 152-160 - 2010
- [c2]Amber Stubbs, Benjamin Harshfield:
Applying the TARSQI Toolkit to Augment Text Mining of EHRs. BioNLP@ACL 2010: 141-143
2000 – 2009
- 2007
- [c1]Marc Verhagen, Amber Stubbs, James Pustejovsky:
Combining Independent Syntactic and Semantic Annotation Schemes. LAW@ACL 2007: 109-112
Coauthor Index
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