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Representing clinical documents to support automatic retrieval of evidence from the Cochrane Library

机译:代表临床文件以支持从Cochrane图书馆自动检索证据

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The overall aim of our research is to develop a clinical information retrieval system that retrieves systematic reviews and underlying clinical studies from the Cochrane Library to support physician decision making. We believe that in order to accomplish this goal we need to develop a mechanism for effectively representing documents that will be retrieved by the application. Therefore, as a first step in developing the retrieval application we have developed a methodology that semi-automatically generates high quality indices and applies them as descriptors to documents from The Cochrane Library. In this paper we present a description and implementation of the automatic indexing methodology and an evaluation that demonstrates that enhanced document representation results in the retrieval of relevant documents for clinical queries. We argue that the evaluation of information retrieval applications should also include an evaluation of the quality of the representation of documents that may be retrieved.
机译:我们研究的总体目标是开发一种临床信息检索系统,该系统从Cochrane图书馆检索系统评价和基础临床研究,以支持医师的决策。我们认为,为了实现此目标,我们需要开发一种机制来有效表示将由应用程序检索的文档。因此,作为开发检索应用程序的第一步,我们开发了一种方法,该方法可以半自动生成高质量索引,并将其作为描述符应用于Cochrane库中的文档。在本文中,我们介绍了自动索引方法的描述和实现以及评估,该评估表明增强的文档表示能力会导致临床查询的相关文档的检索。我们认为,信息检索应用程序的评估还应该包括对可能被检索的文档表示质量的评估。

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