The voice of decompensation: an explainable machine learning approach to assessing heart failure severity.
Aims Heart failure (HF) is characterized by high morbidity and frequent hospital readmissions, highlighting the need for scalable out-of-hospital monitoring to support post-discharge nursing care. We aimed to (i) develop a HF-tailored, user-friendly voice task set suitable for remote monitoring; (ii...
| Publicado en: | European Journal of Cardiovascular Nursing Vol. 25; no. 3; pp. 607 - 617 |
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| Autores principales: | , , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Apr2026
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| Acceso en línea: | Ver este registro en EBSCOhost |