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