人们在网上搜索关于心血管疾病的哪些信息?

Ashutosh Jadhav, Stephen T Wu, A. Sheth, Jyotishman Pathak
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引用次数: 1

摘要

我们收集了1000万个与心血管疾病相关的匿名搜索查询,这些查询将用户从网络搜索引擎引导到梅奥诊所的消费者健康信息网站。使用UMLS MetaMap,我们在语义上将CVD查询映射到UMLS语义类型和概念。基于语义类型/概念,我们开发了一种基于规则的方法,并将1000万个查询中的94%分类为17个健康类别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What Information about Cardiovascular Diseases do People Search Online?
We collected ten million CVD related anonymized search queries that direct users from Web search engines to the Mayo Clinic’s consumer health information website. Using UMLS MetaMap, we semantically mapped the CVD queries to UMLS sematic types and concepts. Based on the semantic type/concepts, we developed a rule-based approach and categorized 94% of the 10 million queries into 17 health categories.
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