TN-TIES：一种从急诊科分诊记录中提取时间信息的系统。
TN-TIES: A system for extracting temporal information from emergency department triage notes.
作者信息
Irvine Ann K, Haas Stephanie W, Sullivan Tessa
机构信息
University of North Carolina, Chapel Hill, NC, USA.
出版信息
AMIA Annu Symp Proc. 2008 Nov 6;2008:328-32.
Abstract
The triage note field of the Emergency Department (ED) patient record describes the reason for the patient's visit, including specific symptoms and incidents. Here we present the Triage Note Temporal Information Extraction System (TN-TIES), which systematically processes triage note text and outputs a human and machine readable interpretation of the timing of the events leading up to the ED visit. TN-TIES consists of chunking, classification, and interpretation processing stages. The results at each stage are promising. This system is a first step towards a complete interpretation and timeline presentation of all events that occurred before a patients visit to the ED, which could help clinicians, public health officials, and others understand and visualize the data.
摘要
急诊科（ED）患者记录中的分诊记录字段描述了患者就诊的原因，包括具体症状和事件。在此，我们介绍分诊记录时间信息提取系统（TN-TIES），该系统可系统地处理分诊记录文本，并输出对导致患者前往急诊科就诊的事件时间的、可供人类和机器阅读的解释。TN-TIES由分块、分类和解释处理阶段组成。每个阶段的结果都很有前景。该系统是朝着全面解释和呈现患者前往急诊科就诊之前发生的所有事件的时间线迈出的第一步，这有助于临床医生、公共卫生官员及其他人员理解和直观呈现这些数据。
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