Amber Stubbs

发表

Research and Applications 2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records

Ozlem Uzuner, Michele Filannino, K. Buchan, 2019 .

Natural Language Annotation for Machine Learning - a Guide to Corpus-Building for Applications

James Pustejovsky, Amber Stubbs, J. Pustejovsky, 2012 .

Increasing Informativeness in Temporal Annotation

James Pustejovsky, Amber Stubbs, J. Pustejovsky, 2011, Linguistic Annotation Workshop.

Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks

Özlem Uzuner, Amber Stubbs, Özlem Uzuner, 2015, J. Biomed. Informatics.

Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2

Hua Xu, Özlem Uzuner, Amber Stubbs, 2015, J. Biomed. Informatics.

Creation of a new longitudinal corpus of clinical narratives

Özlem Uzuner, Amber Stubbs, Vishesh Kumar, 2015, J. Biomed. Informatics.

Annotating risk factors for heart disease in clinical narratives for diabetic patients

Özlem Uzuner, Amber Stubbs, Özlem Uzuner, 2015, J. Biomed. Informatics.

Seventh i2b2 Shared Task and Workshop Challenges in Natural Language Processing for Clinical Data

Goran Nenadic, Hui Yang, John A. Keane, 2014 .

2018 N2c2 Shared Task on Adverse Drug Events and Medication Extraction in Electronic Health Records

Michele Filannino, Amber Stubbs, Özlem Uzuner, 2020, J. Am. Medical Informatics Assoc..

Cohort selection for clinical trials: n2c2 2018 shared task track 1

Ergin Soysal, Michele Filannino, Amber Stubbs, 2019, J. Am. Medical Informatics Assoc..

Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus

Özlem Uzuner, Amber Stubbs, Özlem Uzuner, 2015, J. Biomed. Informatics.

Advancing the state of the art in automatic extraction of adverse drug events from narratives

Leslie Lenert, Amber Stubbs, Özlem Uzuner, 2019, J. Am. Medical Informatics Assoc..

A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatry.

Michele Filannino, Amber Stubbs, Özlem Uzuner, 2017, Journal of biomedical informatics.

Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1

Özlem Uzuner, Amber Stubbs, Christopher Kotfila, 2015, J. Biomed. Informatics.

MAE and MAI: Lightweight Annotation and Adjudication Tools

Amber Stubbs, A. Stubbs, Amber Stubbs, 2011, Linguistic Annotation Workshop.

Natural Language Annotation for Machine Learning

James Pustejovsky, Amber Stubbs, J. Pustejovsky, 2012 .

De-identification of Medical Records Through Annotation

Özlem Uzuner, Amber Stubbs, Özlem Uzuner, 2017 .

Ease of adoption of clinical natural language processing software: An evaluation of five systems

Yang Liu, Yue Wang, Hongfang Liu, 2015, J. Biomed. Informatics.

De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1.

Michele Filannino, Amber Stubbs, Özlem Uzuner, 2017, Journal of biomedical informatics.

Chronology of your health events: Approaches to extracting temporal relations from medical narratives

Özlem Uzuner, Amber Stubbs, Weiyi Sun, 2013, J. Biomed. Informatics.

Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2.

Özlem Uzuner, Michele Filannino, Amber Stubbs, 2017, Journal of biomedical informatics.

New approaches to cohort selection

Amber Stubbs, Özlem Uzuner, Özlem Uzuner, 2019, J. Am. Medical Informatics Assoc..

Machine Learning for Higher-Level Linguistic Tasks

Anna Rumshisky, Amber Stubbs, Anna Rumshisky, 2017 .

Challenges in Synthesizing Surrogate PHI in Narrative EMRs

Peter Szolovits, Özlem Uzuner, Amber Stubbs, 2015, Medical Data Privacy Handbook.