在线健康社区中睡眠障碍疾病描述文本主题特征研究  

Study on the Thematic Characteristics of Sleep Disorders Disease Description Texts in Online Health Communities

作　　者：庞盼杏 何彩荣 张磊 陈景信 石荣丽 徐中岳 翁开源 PANG Panxing;HE Cairong;ZHANG Lei;CHEN Jingxin;SHI Rongli;XU Zhongyue;WENG Kaiyuan(School of Pharmaceutical Business,Guangdong Pharmaceutical University,Guangzhou 510006,China;South China University of Technology,Guangzhou 510655,China;NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance,Guangzhou 510006,China)

机构地区：[1]广东药科大学医药商学院,广州510006 [2]华南理工大学医院,广州510655 [3]国家药品监督管理局药物警戒技术研究与评价重点实验室,广州510006

出　　处：《医学信息学杂志》2024年第10期59-64,共6页Journal of Medical Informatics

基　　金：广东省哲学社会科学规划项目(项目编号:GD21SQGL01);广东省广州市哲学社科“十四五”规划课题(项目编号:2023GZGJ67)。

摘　　要：目的/意义通过挖掘睡眠障碍疾病描述文本,深入了解睡眠障碍线上问诊的现状与睡眠障碍用户的在线问诊信息主题特征。方法/过程以“好大夫在线”平台为数据源,利用网络爬虫获取睡眠障碍相关医患信息,使用隐含狄利克雷分布模型识别患者疾病描述的主题。结果/结论睡眠障碍涉及科室较分散、治疗方式以药物为主,线上问诊能改善83.2%患者病情。用户疾病描述主题包括用药情况与咨询、外界环境、症状描述、代问与病因。建议平台与医生关注患者用药预后情况、心理健康状况,注重共病科普工作。Purpose/Significance Disease description texts are analyzed to reach a deeper understanding of the current status of online consultations for sleep disorders and the thematic characteristics of users with sleep disorders.Method/Process Data about sleep disorders from“haodf.com”website is collected by using a web crawler.Furthermore,the main themes about patients’description are identified by the latent Dirichlet allocation(LDA)model.Result/Conclusion The departments of sleep disorders are more dispersed,and the main treatment is drug therapy.Online consultations could improve 83.2%of patients’condition.The themes of patients’s disease descriptions include medication and consultation,external environment,description of symptoms,surrogate questions and causes.It is suggested that the platform and doctors should pay attention to the prognosis of patients’medication and mental health status,and pay attention to the popularization of comorbidities.

关 键 词：在线问诊 睡眠障碍 隐含狄利克雷分布模型 主题特征 

分 类 号：R-058[医药卫生]