Annotating temporal information in clinical narratives

被引：42

作者：

Sun, Weiyi ^{[1
]}

Rumshisky, Anna ^{[2
]}

Uzuner, Ozlem ^{[3
]}

机构：

[1] SUNY Albany, Dept Informat, Albany, NY 12222 USA

[2] Univ Massachusetts, Dept Comp Sci, Lowell, MA 01854 USA

[3] SUNY Albany, Dept Informat Studies, Albany, NY 12222 USA

来源：

JOURNAL OF BIOMEDICAL INFORMATICS | 2013年 / 46卷

基金：

美国国家卫生研究院;

关键词：

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

D O I：

10.1016/j.jbi.2013.07.004

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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. (C) 2013 Elsevier Inc. All rights reserved.

引用

页码：S5 / S12

页数：8

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