A textual representation scheme for identifying clinical relationships in patient records.
A textual representation scheme for identifying clinical relationships in patient records.
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用于识别患者记录中临床关系的文本表示方案。
DOI：
10.1109/icmla.2010.164
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Lu,Zhiyong
中科院分区：
文献类型：
--
作者：
Doğan,RezartaIslamaj;Névéol,Aurélie;Lu,Zhiyong
识别患者记录中临床概念之间的关系是医学信息学中许多重要应用的初步步骤，从护理质量到假设生成。在这项工作中，我们描述了一种有助于自动识别文本中两个不同概念之间定义的关系的方法。与传统的词袋表示不同，在这项工作中，根据概念在文本中的位置，用五个不同的上下文块的方案来表示关系。该方案应用于医疗问题、治疗和测试之间的八种不同关系，涉及来自第4次i2b2挑战的一组349名患者记录。结果表明，与词袋模型（F-Measure = 0.402）相比，上下文块表示非常成功（F-Measure = 0.775）。这种表示方案的优点是正确地管理单词位置信息，这对于识别某些关系可能是至关重要的。
The identification of relationships between clinical concepts in patient records is a preliminary step for many important applications in medical informatics, ranging from quality of care to hypothesis generation. In this work we describe an approach that facilitates the automatic recognition of relationships defined between two different concepts in text. Unlike the traditional bag-of-words representation, in this work, a relationship is represented with a scheme of five distinct context-blocks based on the position of concepts in the text. This scheme was applied to eight different relationships, between medical problems, treatments and tests, on a set of 349 patient records from the 4th i2b2 challenge. Results show that the context-block representation was very successful (F-Measure = 0.775) compared to the bag-of-words model (F-Measure = 0.402). The advantage of this representation scheme was the correct management of word position information, which may be critical in identifying certain relationships.