Healthc Inform Res.  2011 Sep;17(3):150-155. 10.4258/hir.2011.17.3.150.

Recognizing Temporal Information in Korean Clinical Narratives through Text Normalization

• Kim Y
• Choi J

• KMID: 1974240
• DOI: http://doi.org/10.4258/hir.2011.17.3.150

Abstract

OBJECTIVES
Acquiring temporal information is important because knowledge in clinical narratives is time-sensitive. In this paper, we describe an approach that can be used to extract the temporal information found in Korean clinical narrative texts.
METHODS
We developed a two-stage system, which employs an exhaustive text analysis phase and a temporal expression recognition phase. Since our target document may include tokens that are made up of both Korean and English text joined together, the minimal semantic units are analyzed and then separated from the concatenated phrases and linguistic derivations within a token using a corpus-based approach to decompose complex tokens. A finite state machine is then used on the minimal semantic units in order to find phrases that possess time-related information.
RESULTS
In the experiment, the temporal expressions within Korean clinical narratives were extracted using our system. The system performance was evaluated through the use of 100 discharge summaries from Seoul National University Hospital containing a total of 805 temporal expressions. Our system scored a phrase-level precision and recall of 0.895 and 0.919, respectively.
CONCLUSIONS
Finding information in Korean clinical narrative is challenging task, since the text is written in both Korean and English and frequently omits syntactic elements and word spacing, which makes it extremely noisy. This study presents an effective method that can be used to aquire the temporal information found in Korean clinical documents.

Keyword

Medical Informatics; Information Processing; Multilingualism; Medical Record; Automated Pattern Recognition

MeSH Terms

Automatic Data Processing
Linguistics
Medical Informatics
Medical Records
Multilingualism
Pattern Recognition, Automated
Semantics

Figure

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  Figure 1 (A) An example of temporal expression marked from the medical history of Korean discharge summary. (B) Same text translated into English. Note that the arrangement of word is changed because the word order of Korean is different from English.

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  Figure 2 The system architecture for temporal expression extraction in Korean clinical narrative.

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  Figure 3 Temporal expressions along with the lab test results in the summary text.

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