你是你的推特:分析公共健康的推特You Are What You Tweet: Analyzing Twitter for Public Health |
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课程网址: | http://videolectures.net/icwsm2011_paul_health/ |
主讲教师: | Paul Michael J |
开课单位: | 约翰霍普金斯大学 |
开课时间: | 信息不详。欢迎您在右侧留言补充。 |
课程语种: | 英语 |
中文简介: | 分析社交媒体中的用户信息可以测量不同的人口特征,包括公共卫生措施。例如,最近的研究将推特信息与美国的流感发病率联系起来;但这在很大程度上是为了公共卫生而挖掘推特的范围。在这项工作中,我们考虑为Twitter提供更广泛的公共卫生应用程序。我们将最近引入的疾病主题方面模型应用于超过150万条健康相关的推特,并发现超过12种疾病,包括过敏、肥胖和失眠。我们引入扩展,将先前的知识融入到这个模型中,并将其应用到几个任务中:随时间跟踪疾病(综合征监测)、测量行为风险因素、按地理区域定位疾病以及分析症状和药物使用。我们显示了与公共卫生数据和模型输出的定性评估的定量相关性。我们的研究结果表明,Twitter在公共卫生研究中具有广泛的适用性。 |
课程简介: | Analyzing user messages in social media can measure different population characteristics, including public health measures. For example, recent work has correlated Twitter messages with influenza rates in the United States; but this has largely been the extent of mining Twitter for public health. In this work, we consider a broader range of public health applications for Twitter. We apply the recently introduced Ailment Topic Aspect Model to over one and a half million health related tweets and discover mentions of over a dozen ailments, including allergies, obesity and insomnia. We introduce extensions to incorporate prior knowledge into this model and apply it to several tasks: tracking illnesses over times (syndromic surveillance), measuring behavioral risk factors, localizing illnesses by geographic region, and analyzing symptoms and medication usage. We show quantitative correlations with public health data and qualitative evaluations of model output. Our results suggest that Twitter has broad applicability for public health research. |
关 键 词: | 公共卫生措施; 疾病模型; 行为危险因素 |
课程来源: | 视频讲座网 |
最后编审: | 2019-12-10:cwx |
阅读次数: | 60 |