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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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| Publicado no: | SN Comput Sci |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Singapore
2021
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| Assuntos: | |
| Acesso em linha: | 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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