An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses

Journal of Biomedical Informatics(2021)

引用 12|浏览1
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摘要
•Early detection of COVID-19 resurgence is achievable using syndromic surveillance.•Outbreaks of diseases affect in-hospital symptom prevalence distributions.•Autoencoder-based aberration detection can be used to detect outbreaks early.•Autoencoder approach can differentiate between diseases with similar syndromes.•Signals present more than one month prior to first laboratory confirmed case.
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关键词
COVID-19,Deep learning,Syndromic surveillance
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