TY -非盟的罗,杰克盟——张Guo-Qiang盟——Wentz苏珊盟——崔Licong盟——徐,荣PY - 2015 DA - 2015/02/17 TI - SimQ:实时检索相似的消费者健康问题乔- J地中海互联网Res SP - e43六世- 17 - 2 KW -网上健康信息寻求KW -健康信息交付千瓦消费者健康信息学KW——消费者问题检索KW -相似性分析KW - Netwellness.org KW -医疗保健问题KW -搜索和查询AB -背景:为消费者提供医疗保健信息的基于web的问答(Q&A)服务的普及程度显著增加。这些在线社区中存档了大量的问答，为寻求医疗保健问题答案的消费者形成了有价值的知识库。然而，由于消费者可能缺乏专业知识，要找到与自身健康问题密切相关的问答仍然很有挑战性。消费者经常反复问类似的问题，而这些问题之前已经被其他用户回答过了。目的:在本研究中，我们的目标是开发有效的信息学方法，可以检索类似的基于web的消费者健康问题使用句法和语义分析。方法:我们提出了“SimQ”来实现这一目标。SimQ是一个信息学框架，它比较存档健康问题的相似性并检索答案以满足消费者的信息需求。采用统计句法分析的方法分析每个问题的句法结构。采用标准化统一医学语言系统(UMLS)对语义类型进行标注，提取医学概念。 Finally, the similarity between sentences was calculated using both semantic and syntactic features. Results: We used 2000 randomly selected consumer questions to evaluate the system’s performance. The results show that SimQ reached the highest precision of 72.2%, recall of 78.0%, and F-score of 75.0% when using compositional feature representations. Conclusions: We demonstrated that SimQ complements the existing Q&A services of Netwellness, a not-for-profit community-based consumer health information service that consists of nearly 70,000 Q&As and serves over 3 million users each year. SimQ not only reduces response delay by instantly providing closely related questions and answers, but also helps consumers to improve the understanding of their health concerns. SN - 1438-8871 UR - //www.mybigtv.com/2015/2/e43/ UR - https://doi.org/10.2196/jmir.3388 UR - http://www.ncbi.nlm.nih.gov/pubmed/25689608 DO - 10.2196/jmir.3388 ID - info:doi/10.2196/jmir.3388 ER -