User rating activity within KIWI: A technology for public health event monitoring and early warning signal detection.
Online journal of public health informatics(2018)
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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