Temporal annotation of clinical text

Authors:
Danielle L. Mowery;Henk Harkema;Wendy W. Chapman
Affiliations:
University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA
Venue:
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Year:
2008

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Abstract

We developed a temporal annotation schema that provides a structured method to capture contextual and temporal features of clinical conditions found in clinical reports. In this poster we describe the elements of the annotation schema and provide results of an initial annotation study on a document set comprising six different types of clinical reports.