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Visualized Related Topics (VRT) system for health information retrieval

机译：可视化相关主题（VRT）系统，用于健康信息检索

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摘要

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：为了帮助桥接消费者用户的词汇和控制词汇的差距，用于索引健康信息，在该演示中，我们实现了可视化相关主题（VRT）浏览器系统。 VRT被集成到“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顶部相关文档中选择表示相关主题或主题的网格术语。我们使用传统的术语频率 - 逆文档频率（TF-IDF）算法对这些网格术语进行排名。 VRT浏览器通过创建所选择的网格术语从居中用户查询源的视觉显示这些网格术语的图形表示。设计目标是为用户提供搜索结果的关键主题的概述。此外，VRT浏览器还可以帮助用户形成更好的查询。使用VRT浏览器，我们将研究如何有效地协助消费者用户的健康信息。

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