In this study we focus on heart failure hospitalization (HFH) prediction, which is a particular problem of patient modeling for alerting. We formulate a short ...
Heart Failure Hospitalization Prediction in. Remote Patient Management Systems. M. Pechenizkiy, E. Vasilyeva, I. ˇZliobait˙e. Department of Computer Science.
Jul 3, 2024 · Value of Remote Patient Monitoring for Chronic Heart Failure. Heart failure, a cardiovascular disease, affects millions of people globally and ...
Continuous wearable monitoring analytics predict heart failure hospitalization: the LINK-HF multicenter study. Circ Heart Fail. 2020;13:e006513. doi ...
Jun 12, 2023 · Early telemonitoring of weights and symptoms did not decrease heart failure hospitalizations but helped identify steps toward effective ...
Sep 26, 2023 · Continuous Wearable Monitoring Analytics Predict Heart Failure Hospitalization: The LINK-HF Multicenter Study. Circ. Heart Fail. 2020;13 ...
Remote monitoring (RM) can help patients with heart failure (HF) remain free of hospitalization. ... management, assess symptoms, and triage medical problems over ...
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We demonstrate that machine learning analytics using data from a wearable sensor can accurately predict hospitalization for heart failure exacerbation. • We ...
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Jun 13, 2024 · Remote patient monitoring in heart failure: a comprehensive meta-analysis and systematic review analyzing efficacious program components for ...
Background: Remote patient management may improve prognosis in heart failure. Daily review of transmitted data for early recognition of patients at risk ...