Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks.

Journal: Yearbook of medical informatics

Published Date: Aug 1, 2018

Abstract

OBJECTIVES: To review the latest scientific challenges organized in clinical Natural Language Processing (NLP) by highlighting the tasks, the most effective methodologies used, the data, and the sharing strategies.

Authors

Michele Filannino

Department of Computer Science, State University of New York at Albany, NY, USA.
Ozlem Uzuner

Department of Information Studies, University at Albany, SUNY. Albany, NY.

Keywords

Adverse Drug Reaction Reporting Systems Confidentiality Drug Labeling Electronic Health Records Natural Language Processing Social Media

External Resources

View on PubMed Access via DOI PubMed (30157522)

Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks.

Abstract

Authors

Keywords

External Resources

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