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Predicting heart failure decompensation using circadian markers from heart rate time series: a machine learning approach

17 May 2025 (08:00 - 12:45)
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Congress Presentation Part of: Diagnostic approaches, risk and prognosis in acute heart failure Prevention HFA Premium Access Heart Failure 2025 Heart Failure Association (HFA)

About the speaker

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Miss Mayke Van Leunen

Maxima Medical Center, Veldhoven (Netherlands (The))

5 More presentations in this session

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Edema index and phase angle as predictors of 3- and 6-month outcomes in acute heart failure: results from the SMILE-HF registry
Doctor S. Sohn (Seoul, KR)
Abstract Slides Video
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Signs of congestion, quality of life and short term rehospitalization in patients with heart failure
Mr G. Voordes (Groningen, NL)
Abstract Slides Video
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Left atrial pressure remote monitoring in acute decompensated heart failure: insights from the VECTOR-HF trial.
Associate Professor D. D'Amario (Novara, IT)
Abstract Slides Video
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Delirium subtypes and short-term survival in older patients hospitalised for acute heart failure
Doctor A. Finazzi (Monza, IT)
Abstract Slides Video
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Prognostic impact of multimorbidity and frailty on 90-day survival in older patients hospitalised for acute heart failure: a prospective study
Doctor E. Esposito (Monza, IT)
Abstract Slides Video

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Diagnostic approaches, risk and prognosis in acute heart failure
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The Event

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Heart Failure 2025

17 May - 20 May 2025
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ESC 365 is supported by

novartis Explore sponsored resources