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User rating activity within KIWI: A technology for public health event monitoring and early warning signal detection.

Online journal of public health informatics(2018)

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摘要
Diversity was observed between user ratings. It is hypothesized that rating diversity is influenced by differences in user expertise and experience, and that the number of times a user rates within and outside of a signal's 95% CI can be used as a proxy for user expertise. The introduction of a weighted rating algorithm within KIWI that takes this into consideration could be beneficial.
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关键词
Public health intelligence,data mining,digital disease detection,early warning,event monitoring,event-based surveillance
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