【每日论文】Journal of medical Internet research-期刊-数字校园社交网络方向

云胡实验室

于 2019-06-13 21:19:37 发布

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分类专栏：每日看论文，不会写也会编文章标签：论文向社交网络数据挖掘主题分析功能借鉴

本文链接：https://blog.youkuaiyun.com/qq_28930251/article/details/91896716

该研究分析了2007年至2017年间WebMD上关于左旋甲状腺素的患者评论，通过文本挖掘识别患者主要的用药关注点，如剂量调整和外观。论文指出，社交媒体上的患者评论可能更真实地反映患者体验，为理解患者观点提供了新途径。

1.Park SH, Hong SH,Identification of Primary Medication Concerns Regarding Thyroid Hormone Replacement Therapy From Online Patient Medication Reviews: Text Mining of Social Network Data,J Med Internet Res 2018;20(10):e11085

类型：期刊/出版方：JMIR Publications/Journal of medical Internet research/作者单位：Research Institute of Pharmaceutical Science

摘自论文：“Data for this study came from patient reviews and ratings of levothyroxine posted on a social network site (WebMD) in the United States between September 1, 2007, and January 30, 2017. WebMD runs a social network service that allows patients to browse patient reviews of prescription drugs based on their medication experience and to pos