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The Yale cTAKES extensions for document classification: architecture and application.耶鲁 CTakes 扩展用于文档分类:架构与应用。
J Am Med Inform Assoc. 2011 Sep-Oct;18(5):614-20. doi: 10.1136/amiajnl-2011-000093. Epub 2011 May 27.
2
Anaphoric relations in the clinical narrative: corpus creation.临床叙述中的回指关系:语料库创建。
J Am Med Inform Assoc. 2011 Jul-Aug;18(4):459-65. doi: 10.1136/amiajnl-2011-000108. Epub 2011 Apr 1.
3
Discovering peripheral arterial disease cases from radiology notes using natural language processing.使用自然语言处理技术从放射学记录中发现外周动脉疾病病例。
AMIA Annu Symp Proc. 2010 Nov 13;2010:722-6.
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Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease.利用信息学进行遗传研究:利用电子病历进行外周动脉疾病的全基因组关联研究。
J Am Med Inform Assoc. 2010 Sep-Oct;17(5):568-74. doi: 10.1136/jamia.2010.004366.
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Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.梅奥临床文本分析和知识提取系统(cTAKES):架构、组件评估和应用。
J Am Med Inform Assoc. 2010 Sep-Oct;17(5):507-13. doi: 10.1136/jamia.2009.001560.
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Resolving anaphoras for the extraction of drug-drug interactions in pharmacological documents.解决药理学文献中药物-药物相互作用提取的回指问题。
BMC Bioinformatics. 2010 Apr 16;11 Suppl 2(Suppl 2):S1. doi: 10.1186/1471-2105-11-S2-S1.
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Electronic medical records for discovery research in rheumatoid arthritis.电子病历在类风湿关节炎研究中的应用。
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Automatically extracting cancer disease characteristics from pathology reports into a Disease Knowledge Representation Model.从病理报告中自动提取癌症疾病特征到疾病知识表示模型中。
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共指消解:综述临床领域的通用方法及应用。

Coreference resolution: a review of general methodologies and applications in the clinical domain.

机构信息

Children's Hospital Boston, Boston, MA 02115, United States.

出版信息

J Biomed Inform. 2011 Dec;44(6):1113-22. doi: 10.1016/j.jbi.2011.08.006. Epub 2011 Aug 12.

DOI:10.1016/j.jbi.2011.08.006
PMID:21856441
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3226856/
Abstract

Coreference resolution is the task of determining linguistic expressions that refer to the same real-world entity in natural language. Research on coreference resolution in the general English domain dates back to 1960s and 1970s. However, research on coreference resolution in the clinical free text has not seen major development. The recent US government initiatives that promote the use of electronic health records (EHRs) provide opportunities to mine patient notes as more and more health care institutions adopt EHR. Our goal was to review recent advances in general purpose coreference resolution to lay the foundation for methodologies in the clinical domain, facilitated by the availability of a shared lexical resource of gold standard coreference annotations, the Ontology Development and Information Extraction (ODIE) corpus.

摘要

指代消解是指确定自然语言中指向同一实体的语言表达式的任务。一般英语领域的指代消解研究可以追溯到 20 世纪 60 年代和 70 年代。然而,临床自由文本的指代消解研究并没有取得重大进展。最近美国政府提倡使用电子病历(EHR),为挖掘患者记录提供了机会,因为越来越多的医疗机构开始采用 EHR。我们的目标是回顾一般目的指代消解的最新进展,为临床领域的方法奠定基础,这得益于可用的共享词汇资源——黄金标准指代标注集 Ontology Development and Information Extraction (ODIE) 语料库。