基于关键词链接网络分析方法的医学文献推荐服务研究

发布时间：2018-05-10 21:07

本文选题：文献推荐服务 + 关键词链接网络　；参考：《情报学报》2017年01期

【摘要】：本文提出了一种面向临床诊断决策支持服务的医学文献推荐方法,该方法首先对文献关键词从关键词列表、Mesh标准医学词库和缩略词三个方面进行了规范化处理,并据此得到关键词和文献的完整对应关系。文章对相关处理方法的思路和细节都做了详细的说明。然后,利用已知的患者症状描述信息,根据关键词共现形式来获取目标句子集合和诊断相关关键词集合,并利用基于关键词共现形成的关键词链接网络,本文设计了一种测度重要关键词及其相关文献的查询方法。最后,文章对相关实验效果及其用户满意度评价都做了必要的说明。
[Abstract]:In this paper, a medical literature recommendation method for clinical diagnosis decision support service is proposed. Firstly, the key words of literature are standardized from three aspects: keyword list, mesh standard medical thesaurus and acronym. Based on this, the complete correspondence between keywords and literature is obtained. The article has made detailed explanation to the related processing method thought and the detail. Then, using the known patient symptom description information, the target sentence set and diagnosis related keyword set are obtained according to the cooccurrence form of keywords, and the keyword link network based on keyword co-occurrence is used. This paper designs a query method to measure important keywords and related documents. Finally, the related experimental results and the evaluation of user satisfaction are explained.
【作者单位】：南京财经大学信息工程学院;南京邮电大学管理学院;
【基金】：国家社会科学基金项目“基于大数据分析的数字图书馆个性化服务模式创新研究”(16BTQ030) 科技部科技支撑项目“外贸行业电子商务服务技术研究与应用”(BAH29F01)
【分类号】：G254

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