An analytics framework for graph-based anomaly detection in healthcare time series
Anomaly detection in time series plays a vital role in diverse domains such as healthcare, finance, and industrial monitoring, where identifying deviations from normal behavior can signal critical events. While traditional methods often focus on univariate time series and assume fixed temporal dynam...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2026-06-01
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| Serie: | Healthcare Analytics |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S2772442526000018 |
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