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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Detalles Bibliográficos
Autores principales: Homayouni, Hajar, Ray, Indrakshi, Ghosh, Sudipto, Gondalia, Shlok, Kahn, Michael G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132285/
https://www.ncbi.nlm.nih.gov/pubmed/34027432
http://dx.doi.org/10.1007/s42979-021-00658-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132285/
https://www.ncbi.nlm.nih.gov/pubmed/34027432
http://dx.doi.org/10.1007/s42979-021-00658-w

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