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Anomaly Detection in COVID-19 Time-Series Data

Anomaly detection and explanation in big volumes of real-world medical data, such as those pertaining to COVID-19, pose some challenges. First, we are dealing with time-series data. Typical time-series data describe behavior of a single object over time. In medical data, we are dealing with time-ser...

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Dades bibliogràfiques
Publicat a:SN Comput Sci
Autors principals: Homayouni, Hajar, Ray, Indrakshi, Ghosh, Sudipto, Gondalia, Shlok, Kahn, Michael G.
Format: Artigo
Idioma:Inglês
Publicat: Springer Singapore 2021
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8132285/
https://ncbi.nlm.nih.gov/pubmed/34027432
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s42979-021-00658-w
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