摘要
目的/意义阐述在线医疗评论的内容特征及其对患者在线问诊服务利用的影响,为在线医疗平台信息管理提供参考。方法/过程构建基于TF-IDF的LDA主题模型,采用基于情感词典的语义分析方法,挖掘在线医疗评论的内容特征,应用主成分分析法对其进行分类探索,并利用二元logistic进行回归分析。结果/结论将在线医疗评论内容特征分为3大类别,包括9个指标,其中评论者属性、时效性、问诊流程、服务态度和平台操作反馈对患者高效在线问诊服务利用存在显著影响,建议通过优化在线医疗平台评论板块相关服务提高患者对在线问诊服务的利用水平。
Purpose/Significance To expound the content features of online medical reviews and its impact on the utilization of patients’online consultation services,and to provide references for the information management of online medical platforms.Method/Process The LDA topic model based on TF-IDF is constructed,the semantic analysis method based on sentiment dictionary is adopted to mine the content features of online medical reviews,and the principal component analysis(PCA)is applied to classify and explore them,and the regression analysis is carried out by binary logistic.Result/Conclusion The content features of online medical reviews are divided into 3 categories,including 9 indicators.Among them,the attributes of reviewers,timeliness,consultation process,service attitude and platform feedback have a significant impact on the utilization of efficient online consultation services by patients.It is suggested to improve the utilization level of online consultation services by optimizing related services of online medical platform review section.
作者
纪之琳
于琦
陆姣
贺培凤
高启超
JI Zhilin;YU Qi;LU Jiao;HE Peifeng;GAO Qichao(School of Public Health,Shanxi Medical University,Taiyuan 030001,China;School of Management,Shanxi Medical University,Jinzhong 030600,China;School of Public Policy and Administration,Xi’an Jiaotong University,Xi’an 710049,China;School of Basic Medical Sciences,Shanxi Medical University,Jinzhong 030600,China)
出处
《医学信息学杂志》
CAS
2024年第7期62-67,102,共7页
Journal of Medical Informatics
基金
教育部人文社会科学研究规划基金项目(项目编号:22YJA630059)
山西医科大学社会发展方面重点项目(项目编号:201903D311011)
山西省科技创新人才团队重点项目(项目编号:202304051001017)。
关键词
互联网医疗
在线医疗评论
文本挖掘
在线问诊服务
internet medical care
online medical reviews
text mining
online consultation services
作者简介
纪之琳,硕士研究生;通信作者:于琦,教授,博士生导师。
