Medical irregular multivariate time series forecasting based on multi-scale temporal-frequency domain patch fusion and dynamic graph
IntroductionAccurate forecasting of medical irregular multivariate time series is an important prerequisite for downstream monitoring and decision-support research. However, this task remains challenging because physiological data are typically characterized by irregular sampling, missing values, an...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
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Frontiers Media S.A.
2026-04-01
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| coleção: | Frontiers in Physiology |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fphys.2026.1767037/full |
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