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Using Enriched Samples for Semi-Automated Vocabulary Expansion to Identify Rare Events in Clinical Text: Sexual Orientation as a Use Case

机译:使用丰富的样本进行半自动词汇扩张,以识别临床文本中的罕见事件:性取向作为用例

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We demonstrate the utility of concept lexicon expansion and evaluation using enriched samples of patients and documents with sexual orientation as a use case for rare event detection in electronic medical records. Using this approach, we found 7 additional words and 21 misspellings beyond our initial set of five seed words. We can use the expanded vocabulary to further develop a full natural language processing system to identify instances where sexual orientation is documented.
机译:我们展示了概念词典扩张和评估的效用,使用富含患者和文件的富集样品作为电子病历中罕见事件检测的用例。 使用这种方法,我们发现了7个额外的单词和21个错染色,超出了我们最初的五种种子词。 我们可以使用扩展的词汇来进一步开发一个完整的自然语言处理系统,以识别记录性取向的实例。

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