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Visualized Related Topics (VRT) system for health information retrieval

机译:用于健康信息检索的可视化相关主题(VRT)系统

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To help bridge the gap between consumer user's vocabulary and controlled vocabulary used to index health information, in this demo we implemented a Visualized Related Topics (VRT) browser system. The VRT was integrated into the “MeshMed” [2] system to support health information retrieval. The key technology behind the VRT browser is to select MeSH terms, which represent the related topics or subjects, from the top relevant documents. We rank these MeSH terms using the traditional Term Frequency-Inverse Document Frequency (TF-IDF) algorithm. The VRT browser displays a graphic representation of these MeSH terms by creating a visual where the selected MeSH terms stem from the centered user query. The design goal is provide users an overview of the key topics of the search results. In addition, VRT browser may also help users form better queries. Using the VRT browser we will be studying how to effectively assist in consumer users with their health information seeking.
机译:为了帮助弥合消费者用户的词汇量与用于索引健康信息的受控词汇量之间的差距,在此演示中,我们实现了可视化相关主题(VRT)浏览器系统。 VRT已集成到“ MeshMed” [2]系统中,以支持健康信息检索。 VRT浏览器背后的关键技术是从最相关的文档中选择代表相关主题或主题的MeSH术语。我们使用传统的术语频率-反文档频率(TF-IDF)算法对这些MeSH术语进行排名。 VRT浏览器通过创建可视图像来显示这些MeSH术语的图形表示,其中选定的MeSH术语源自居中的用户查询。设计目标是为用户提供搜索结果关键主题的概述。此外,VRT浏览器还可以帮助用户形成更好的查询。我们将使用VRT浏览器研究如何有效地帮助消费者用户寻求健康信息。

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