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Detection of Outbreaks from Time Series Data Using Wavelet Transform

In this paper, we developed a new approach to detection of disease outbreaks based on wavelet transform. It is capable of dealing with two problems found in real-world time series data, namely, negative singularity and long-term trends, which may degrade the performance of current approaches to outb...

詳細記述

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書誌詳細
主要な著者: Zhang, Jun, Tsui, Fu-Chiang, Wagner, Michael M., Hogan, William R.
フォーマット: Artigo
言語:Inglês
出版事項: American Medical Informatics Association 2003
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC1479935/
https://ncbi.nlm.nih.gov/pubmed/14728273
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