Annotating temporal information in clinical narratives
نویسندگان
چکیده
منابع مشابه
Recognizing Temporal Information in Korean Clinical Narratives through Text Normalization
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 ta...
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Temporal information extraction from clinical narratives is of critical importance to many clinical applications. We participated in the EVENT/TIMEX3 track of the 2012 i2b2 clinical temporal relations challenge, and presented our temporal information extraction system, MedTime. MedTime comprises a cascade of rule-based and machine-learning pattern recognition procedures. It achieved a micro-ave...
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To facilitate clinical research, clinical data needs to be stored in a machine processable and understandable way. Manual annotating clinical data is time consuming. Automatic approaches (e.g., Natural Language Processing systems) have been adopted to convert such data into structured formats; however, the quality of such automatically extracted data may not always be satisfying. In this paper,...
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ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2013
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2013.07.004