Machine Learning for Zoonotic Emerging Disease Detection
نویسندگان
چکیده
We might have had an earlier identification of West Nile virus ten years ago had people reported that they were seeing dead crows in their backyards. This position paper suggests a wildlife monitoring system for far upstream detection of zoonotic disease outbreaks. Our system integrates wildlife surveillance from experts, news organizations, citizen scientists, and incidental observers. We outline the machine learning opportunities and challenges for such a system.
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تاریخ انتشار 2011