从推特中检测膳食补充剂使用与精神障碍之间的关联信号。
Detecting Signals of Associations between Dietary Supplement Use and Mental Disorders from Twitter.
作者信息
Wang Yefeng, Zhao Yunpeng, Bian Jiang, Zhang Rui
机构信息
Insititute for Health Informatics, University of Minnesota, Minneapolis, MN,
Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida,
出版信息
2018 IEEE Int Conf Healthc Inform Workshop (2018). 2018 Jun;2018:53-54. doi: 10.1109/ICHI-W.2018.00016. Epub 2018 Jul 19.
In this study, we attempted to detect signals of association between dietary supplement use and mental disorders from Twitter. We collected tweets ranging from 2016 to 2017 which mention five dietary supplements. A case cohort of 257 users were identified by adapting a natural language processing method with further manually verified to have taken one supplement. We then randomly selected 257 users who had not taken any dietary supplement as the control cohort and compared the sentiment and mental health signals of their tweets to the case cohort. We have observed significant differences in the sad, anxious, and negative sentiment between the two cohorts. These results have shown that Twitter is a potential source for detecting signals of association between dietary supplement use and anxiety disorders, depression, and mood disorders.
在本研究中，我们试图从推特上检测膳食补充剂使用与精神障碍之间的关联信号。我们收集了2016年至2017年提及五种膳食补充剂的推文。通过采用自然语言处理方法并进一步人工核实确定了257名服用过一种补充剂的用户作为病例队列。然后我们随机选择257名未服用任何膳食补充剂的用户作为对照队列，并将他们推文的情绪和心理健康信号与病例队列进行比较。我们观察到两个队列在悲伤、焦虑和负面情绪方面存在显著差异。这些结果表明，推特是检测膳食补充剂使用与焦虑症、抑郁症和情绪障碍之间关联信号的潜在来源。
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