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...

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Bibliographic Details

Published in:	European Journal of Cardiovascular Nursing Vol. 25; no. 3; pp. 607 - 617
Main Authors:	Yang, Yi, Zhao, Bochao, Ying, Dire, Han, Ping, Wang, Ying, Liu, Keyao, Gao, Zhenyue, Zhang, Sen, Xiao, Wendong, Wan, Qiaoqin
Format:	pictorial research tables/charts Journal Article
Published:	Oxford University Press / USA Apr2026
Online Access:	View this record in EBSCOhost