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J Biomed Inform. 2013 Dec;46 Suppl:S5-12. doi: 10.1016/j.jbi.2013.07.004. Epub 2013 Jul 19.

Annotating temporal information in clinical narratives.

Author information

1
Department of Informatics, University at Albany, SUNY, 1400 Washington Ave., Draper 114B, Albany, NY 12222, United States. Electronic address: wsun2@albany.edu.

Abstract

Temporal information in clinical narratives plays an important role in patients' diagnosis, treatment and prognosis. In order to represent narrative information accurately, medical natural language processing (MLP) systems need to correctly identify and interpret temporal information. To promote research in this area, the Informatics for Integrating Biology and the Bedside (i2b2) project developed a temporally annotated corpus of clinical narratives. This corpus contains 310 de-identified discharge summaries, with annotations of clinical events, temporal expressions and temporal relations. This paper describes the process followed for the development of this corpus and discusses annotation guideline development, annotation methodology, and corpus quality.

KEYWORDS:

Annotation; Corpus Building; Medical Informatics; Natural Language Processing; Temporal Reasoning

PMID:
23872518
PMCID:
PMC3855581
DOI:
10.1016/j.jbi.2013.07.004
[Indexed for MEDLINE]
Free PMC Article

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