Displaying results 1 - 4 of 4
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Who Should We Be Listening to? Applying Models of User Authority to Detecting Emerging Topics on the EIN
Content Type: Abstract
Emerging event detection is the process of automatically identifying novel and emerging ideas from text with minimal human intervention. With the rise of social networks like Twitter, topic detection has begun leveraging measures of user influence… read more… to identify emerging events. Twitter's highly skewed follower/followee structure lends itself to an intuitive … to identify emerging events. Twitter’s highly skewed follower/followee structure lends itself to an intuitive … 1000 random trials of selecting subsets of 80 users to follow. For evaluation, we used an annotated set of EIN … -
Early Detection of Adverse Drug Events Using The Full Text of Letters to the Editor
Content Type: Abstract
Adverse drug events (ADEs) are a significant source of morbidity and mortality. The majority of post-marketing surveillance for ADEs is passive. Information regarding ADEs is reported to the medical community in peer-reviewed journals. However, in… read more… there is no corresponding abstract to view. Due to the lack of an abstract, detection depends almost exclusively … there is no corresponding abstract to view. Due to the lack of an abstract, detection depends almost exclusively … there is no corresponding abstract to view. Due to the lack of an abstract, detection depends almost exclusively … -
Towards Linking Anonymous Authorship in Casual Sexual Encounter Ads
Content Type: Abstract
The increasing use of the Internet to arrange sexual encounters presents challenges to public health agencies formulating STD interventions, particularly in the context of anonymous encounters. These encounters complicate or break traditional… read more… encounters. While this process detects many clusters, the lack of a true corpus of authorship-linked ads makes it … encounters. While this process detects many clusters, the lack of a true corpus of authorship-linked ads makes it … -
Evaluating the performance of two alternative geographic surveillance schemes
Content Type: Abstract
Influenza-like illness (ILI) data is collected by an Influenza Sentinel Provider Surveillance Network at the state (Iowa, USA) level. Historically, the Iowa Department of Public Health has maintained 19 different influenza sentinel… read more… ‘noticed’ by a surveillance site (and thus having their visit reported back to the IDPH). The Huff model operates by computing the …