基于网络文本分析的患者在线心理健康服务择医偏好研究  

Study on Patients’ Preferences in Choosing Doctors for Online Mental Health Services Based on Web Text Analysis

作　　者：周婧涵 胡银环[1] 冯显东 刘莎 ZHOU Jinghan;HU Yinhuan;FENG Xiandong;LIU Sha(School of Medicine and Health Management,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China)

机构地区：[1]华中科技大学同济医学院医药卫生管理学院,武汉430030

出　　处：《医学信息学杂志》2024年第12期1-8,共8页Journal of Medical Informatics

基　　金：国家自然科学基金资助项目(项目编号:72274068)。

摘　　要：目的/意义分析在线心理健康服务的评论文本,识别患者在线心理健康服务择医偏好并提出对策建议。方法/过程以壹点灵平台为例,采用内容分析法,形成择医偏好指标集,使用隐含狄利克雷分布模型确定偏好主题;使用逻辑回归分类法和情感分析法识别文本评论的主题并计算各主题在线情感得分;基于解释现象学分析法识别患者择医偏好主题类别并提出改进建议。结果/结论将患者在线心理健康服务择医偏好分为3个维度9个细分主题,可为提升在线心理健康服务的质量和满意度提供指导和参考。Purpose/Significance The review texts of online mental health services are analyzed to identify patients’preferences for online mental health services and put forward countermeasures and suggestions.Method/Process Taking Yidianling platform as an example,the content analysis method is used to form a medical preference index set.The latent Dirichlet allocation(LDA)model is used to determine the preferred topic.Logistic regression classification and sentiment analysis are used to identify topics of text comments and calculate online sentiment scores of each topic.Finally,the interpretative phenomenological analysis(IPA)method is used to identify the subject weight of patients’preferences in choosing doctors and put forward suggestions for improvement.Result/Conclusion The formation of patients’preferences in choosing doctors for online mental health services is divided into 3 dimensions and 9 sub-themes,which can provide important guidance and references for improving the quality and satisfaction of online mental health services.

关 键 词：在线心理健康服务 择医偏好 在线评论 隐含狄利克雷分布模型 情感分析 

分 类 号：R-058[医药卫生]