文章摘要
安欣宇,陈育新,张晗.网络健康社区用户的新冠肺炎信息需求[J].中华医学图书情报杂志,2021,30(2):53-58.
网络健康社区用户的新冠肺炎信息需求
Need of online health community users for information on COVID-19 infection pneumonia
投稿时间:2020-11-11  
DOI:10.3969/j.issn.1671-3982.2021.02.009
中文关键词: 新冠肺炎  LDA模型  网络健康社区  信息需求
英文关键词: COVID-19 infection pneumonia  LDA model  Online health community  Information need
基金项目:辽宁省社会科学规划基金项目“基于机器学习算法的药物新适应症多库融合精准预测模型研究”(L19BTQ006)成果之一
作者单位
安欣宇 1.中国医科大学医学信息学院,辽宁 沈阳 110122 
陈育新 1.中国医科大学医学信息学院,辽宁 沈阳 1101222.西南大学计算机与信息科学学院,重庆 400000 
张晗 1.中国医科大学医学信息学院,辽宁 沈阳 110122 
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中文摘要:
      搜集网络健康社区用户中关于新冠肺炎的提问记录,利用LDA模型对提问主题进行建模生成“主题-词”分布概率矩阵和分析主题一致性。结果显示网络健康社区用户对新冠肺炎的临床症状、检查诊断、用药治疗、疫区防控等方面关注较多。对网络健康社区用户关注的新冠肺炎热点主题进行分析发现,用户对新冠肺炎的信息需求与国家相继颁布的诊疗方案及防控指南内容相一致,说明对用户关于新冠肺炎提问的主题分析能够准确反映网络健康社区用户对新冠肺炎的信息需求。
英文摘要:
      The questions about COVID-19 infection pneumonia put by online health community users were recorded. The question topic model was established according to the LDA model to generate the distribution probability of "topics-words" and to analyze the coherence of topics, which showed that more attentions were paid to the symptoms and signs, examination and diagnosis, medications, prevention and control of COVID-19 infection pneumonia by online health community users. Analysis of the hot topics on COVID-19 infection pneumonia showed that the need of online health community users for information on COVID-19 infection pneumonia was consistent with the contents in the treatment plan and prevention and control guidelines issued by our country, which indicates that topic analysis of questions about COVID-19 infection pneumonia put by online health community users can accurately show the need of online health community users for information on COVID-19 infection pneumonia.
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