Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary.
Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary.
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DOI：
10.1186/s12859-015-0606-0
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发表时间：
2015-05-09
影响因子：
3
通讯作者：
Tsujii J
中科院分区：
文献类型：
--
作者：
Xu Y;Chen L;Wei J;Ananiadou S;Fan Y;Qian Y;Chang EI;Tsujii J
电子病历(EMR)系统已在世界各地广泛使用，以提高医疗保健的质量和医院服务的效率。为适应多语种、多民族的医疗需求，需要一部中英文双语的医学词典。我们努力用一个较小的种子词典从英汉两种语言的流量摘要中提取出一个双语词典。词汇术语可以分为两类：单词术语(SWTs)和多词术语(MWTs)。对于SWTs，我们使用标签传播(LP；基于上下文)的方法来提取翻译对的候选。针对医学领域中普遍存在的词语对齐问题，我们提出了一种术语对齐方法，该方法首先获取中文词语词语的各个组成部分的候选译文，然后生成它们的组合，系统从中选出一组合理的候选译文。我们将我们的LP方法与基于简单上下文相似度的基线方法进行了比较。基于LP的方法的精度高于基线：4.44%的Acc1、24.44%的Acc10和62.22%的Acc100，其中AccN表示前N个精度。对于MWTs，LP方法的准确度下降到5.41%Acc10和8.11%Acc20。我们的实验表明，基于术语对齐的方法将MWTs的性能分别提高到16.22%和27.03%。我们构建了一个从两种语言的放电摘要中构建英汉术语词典的框架。我们的实验表明，基于LP的方法与术语对齐方法相结合，将有助于减少编制临床术语双语词典所需的人工工作。
Electronic medical record (EMR) systems have become widely used throughout the world to improve the quality of healthcare and the efficiency of hospital services. A bilingual medical lexicon of Chinese and English is needed to meet the demand for the multi-lingual and multi-national treatment. We make efforts to extract a bilingual lexicon from English and Chinese discharge summaries with a small seed lexicon. The lexical terms can be classified into two categories: single-word terms (SWTs) and multi-word terms (MWTs). For SWTs, we use a label propagation (LP; context-based) method to extract candidates of translation pairs. For MWTs, which are pervasive in the medical domain, we propose a term alignment method, which firstly obtains translation candidates for each component word of a Chinese MWT, and then generates their combinations, from which the system selects a set of plausible translation candidates. We compare our LP method with a baseline method based on simple context-similarity. The LP based method outperforms the baseline with the accuracies: 4.44% Acc1, 24.44% Acc10, and 62.22% Acc100, where AccN means the top N accuracy. The accuracy of the LP method drops to 5.41% Acc10 and 8.11% Acc20 for MWTs. Our experiments show that the method based on term alignment improves the performance for MWTs to 16.22% Acc10 and 27.03% Acc20. We constructed a framework for building an English-Chinese term dictionary from discharge summaries in the two languages. Our experiments have shown that the LP-based method augmented with the term alignment method will contribute to reduction of manual work required to compile a bilingual sydictionary of clinical terms.
特征工程与机器学习和基于规则的方法相结合，用于从叙述性临床出院摘要中提取结构化信息
DOI：
10.1136/amiajnl-2011-000776
发表时间：
2012-09-01
影响因子：
6.4
作者：
Xu, Yan;Hong, Kai;Chang, Eric I-Chao
通讯作者：
Chang, Eric I-Chao
中文出院小结中使用对偶分解的联合分割和命名实体识别
DOI：
10.1136/amiajnl-2013-001806
发表时间：
2014-02-01
影响因子：
6.4
作者：
Xu, Yan;Wang, Yining;Chang, Eric I.
通讯作者：
Chang, Eric I.
DOI：
10.1136/amiajnl-2011-000203
发表时间：
2011-09-01
影响因子：
6.4
作者：
Uzuner, Oezlem;South, Brett R.;DuVall, Scott L.
通讯作者：
DuVall, Scott L.