Non-Parametric Scan Statistics for Disease Outbreak Detection on Twitter

Online Journal of Public Health Informatics

Feng Chen¹  Daniel B. Neill¹ 

[1] Event and Pattern Detection Laboratory, Carnegie Mellon University, Pittsburgh, PA, United States

DOI  :  

学科分类：农业科学（综合）

来源: 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.

【 授权许可】

Unknown