Contextualization in Automatic Extraction of Drugs from Hospital Patient Records

机译：从医院患者记录中自动提取药物的上下文化

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Information Extraction (IE) from medical texts aims at the automatic recognition of entities and relations of interests. IE is based on shallow analysis and considers only sentences containing important words. Thus IE of drugs from discharge letters can identify as 'current' some past or future medication events. This article presents heuristic observations enabling to filter drugs that are taken by the patients during the hospitalization. These heuristics are based on the default PR structure and linguistic expressions signaling temporal and conditional markers. They are integrated in a system for drug extraction from hospital Patient Records (PRs) in Bulgarian language. Present evaluation results are summarized as well.

机译：来自医学文本的信息提取（即）旨在自动识别实体和利益关系。 IE是基于浅分析，仅考虑包含重要单词的句子。因此，来自排放字母的药物可以识别为“当前”某些过去或未来的药物事件。本文提出了启发式观察，从而能够在住院期间过滤患者采取的药物。这些启发式基于默认的PR结构和语言表达式信号传播时间和条件标记。它们集成在保加利亚语中医院患者记录（PRS）的药物提取系统中。目前的评估结果也总结了。

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《Medical Informatics in Europe Conference.》|2011年|OpenAccess|共5页
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Svetla BOYTCHEVA; Dimitar TCHARAKTCHIEV; Galia ANGELOV;
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Contextualization in Automatic Extraction of Drugs from Hospital Patient Records

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