National Institute of Informatics, Tokyo, Japan.
Glob Public Health. 2012;7(7):731-49. doi: 10.1080/17441692.2012.699975. Epub 2012 Jul 11.
Real world pandemics such as SARS 2002 as well as popular fiction like the movie Contagion graphically depict the health threat of a global pandemic and the key role of epidemic intelligence (EI). While EI relies heavily on established indicator sources a new class of methods based on event alerting from unstructured digital Internet media is rapidly becoming acknowledged within the public health community. At the heart of automated information gathering systems is a technology called text mining. My contribution here is to provide an overview of the role that text mining technology plays in detecting epidemics and to synthesise my existing research on the BioCaster project.
现实世界中的大流行疫情,如 2002 年的 SARS 以及像《传染病》这样的流行小说,生动地描绘了全球大流行对健康的威胁,以及流行病情报(EI)的关键作用。虽然 EI 严重依赖于既定的指标来源,但一种基于从非结构化数字互联网媒体发出警报的新方法,正在迅速得到公共卫生界的认可。自动化信息收集系统的核心是一种称为文本挖掘的技术。我在这里的贡献是概述文本挖掘技术在检测疫情方面所扮演的角色,并综合我在 BioCaster 项目上的现有研究。