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iCVS—Inferring Cardio-Vascular hidden States from physiological signals available at the bedside
Intensive care medicine is complex and resource-demanding. A critical and common challenge lies in inferring the underlying physiological state of a patient from partially observed data. Specifically for the cardiovascular system, clinicians use observables such as heart rate, arterial and venous bl...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503777/ https://www.ncbi.nlm.nih.gov/pubmed/37669284 http://dx.doi.org/10.1371/journal.pcbi.1010835 |