首页    期刊浏览 2024年11月28日 星期四
登录注册

文章基本信息

  • 标题:Non-Parametric Scan Statistics for Disease Outbreak Detection on Twitter
  • 作者:Feng Chen ; Pattern Detection Laboratory, Carnegie Mellon University, Pittsburgh, PA, United States ; Daniel B. Neill
  • 期刊名称:Online Journal of Public Health Informatics
  • 电子版ISSN:1947-2579
  • 出版年度:2014
  • 卷号:6
  • 期号:1
  • 语种:English
  • 出版社:University of Illinois at Chicago
  • 摘要:We present a new method for disease outbreak detection, the "Non-Parametric Heterogeneous Graph Scan (NPHGS)". NPHGS enables fast and accurate detection of emerging space-time clusters using Twitter and other social media streams where standard parametric model assumptions are incorrect.
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有