Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media
Leveraging deep learning to understand health beliefs about the Human Papillomavirus Vaccine from social media
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DOI：
10.1038/s41746-019-0102-4
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发表时间：
2019-04-15
影响因子：
15.2
通讯作者：
Tao, Cui
中科院分区：
文献类型：
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作者：
Du, Jingcheng;Cunningham, Rachel M.;Tao, Cui
我们的目的是在大量Twitter帖子（tweets）中描述关于人类乳头瘤病毒（HPV）疫苗的健康信念。我们收集了2014年1月1日至2017年12月31日与HPV疫苗相关的Twitter数据集。我们提出了一个基于深度学习的框架，从Twitter上挖掘关于HPV疫苗的健康信念。深度学习在灵敏度、特异性和准确性方面都取得了很高的成绩。一项对健康信念的回顾性分析发现，对HPV疫苗的信念可能正在Twitter上演变。
Our aim was to characterize health beliefs about the human papillomavirus (HPV) vaccine in a large set of Twitter posts (tweets). We collected a Twitter data set related to the HPV vaccine from 1 January 2014, to 31 December 2017. We proposed a deep-learningbased framework to mine health beliefs on the HPV vaccine from Twitter. Deep learning achieved high performance in terms of sensitivity, specificity, and accuracy. A retrospective analysis of health beliefs found that HPV vaccine beliefs may be evolving on Twitter.