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Enhanced functionalities for annotating and indexing clinical text with the NCBO Annotator+

机译:使用NCBO Annotator +增强了对临床文本进行注释和索引的功能

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摘要

SummarySecond use of clinical data commonly involves annotating biomedical text with terminologies and ontologies. The National Center for Biomedical Ontology Annotator is a frequently used annotation service, originally designed for biomedical data, but not very suitable for clinical text annotation. In order to add new functionalities to the NCBO Annotator without hosting or modifying the original Web service, we have designed a proxy architecture that enables seamless extensions by pre-processing of the input text and parameters, and post processing of the annotations. We have then implemented enhanced functionalities for annotating and indexing free text such as: scoring, detection of context (negation, experiencer, temporality), new output formats and coarse-grained concept recognition (with UMLS Semantic Groups). In this paper, we present the NCBO Annotator+, a Web service which incorporates these new functionalities as well as a small set of evaluation results for concept recognition and clinical context detection on two standard evaluation tasks (Clef eHealth 2017, SemEval 2014).
机译:总结临床数据的第二次使用通常涉及用术语和本体对生物医学文本进行注释。美国国家生物医学本体注释中心是一种经常使用的注释服务,最初是为生物医学数据而设计的,但不适用于临床文本注释。为了在不托管或修改原始Web服务的情况下向NCBO Annotator添加新功能,我们设计了一种代理体系结构,该代理体系结构可以通过预处理输入文本和参数以及对注释进行后处理来实现无缝扩展。然后,我们实现了用于注释和索引自由文本的增强功能,例如:评分,上下文检测(否定,经验,时间性),新的输出格式和粗粒度概念识别(使用UMLS语义组)。在本文中,我们介绍了NCBO Annotator +,这是一个Web服务,它结合了这些新功能以及一小组针对两个标准评估任务的概念识别和临床环境检测的评估结果(Clef eHealth 2017,SemEval 2014)。

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