A Real-Time Disease Surveillance Architecture Using Social Networks

被引：7

作者：

Sofean, Mustafa ^{[1
,2
]}

Smith, Matthew ^{[2
]}

机构：

[1] Leibniz Univ Hannover, Schlosswender Str 5, D-30159 Hannover, Germany

[2] Leibniz Univ Hannover, Distributed Comp & Secur Grp, Hannover, Germany

来源：

QUALITY OF LIFE THROUGH QUALITY OF INFORMATION | 2012年 / 180卷

关键词：

Disease Detection; Twitter; Real time Search; Information Retrieval;

D O I：

10.3233/978-1-61499-101-4-823

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

In this paper we proposed surveillance architecture to track diseases-related postings in social networks using Twitter. In each part of the second, the real-time architecture tracks status updates of people as they are posted as soon as possible. Data mining techniques will be used synchronically to crawl, index, extract and classify postings. This work is a part of constructing a global real-time framework for early monitoring diseases outbreaks in social networks.

引用

页码：823 / 827

页数：5

共 7 条

[1]

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[2]

[Anonymous], 2010, WWW 10 P 19 INT C WO

[3]

Culotta A., 2010, P 1 WORKSH SOC MED A, P115, DOI [DOI 10.1145/1964858.1964874, 10.1145/1964858.1964874]

[4]

Diakopoulos NA, 2010, P HUM FACT COMP SYST

[5]

Gomide J, 2011, P ACM WEBSCI11 2011

[6]

Lampos V., 2010, 2010 2nd International Workshop on Cognitive Information Processing (CIP 2010), P411, DOI 10.1109/CIP.2010.5604088

[7]

Sofean M., 2012, Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, P513

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