Back

Early prediction of prolonged length of stay in heart failure admissions using machine learning models

9 May 2026 (15:30 - 16:15)
Organised by: Logo
Congress Presentation Part of: Managing acute heart failure and the end-stage bridge Multidisciplinary Interventions HFA Premium Access Heart Failure 2026 Heart Failure Association (HFA)

About the speaker

Photo
Ms Ximena Zalazar

Piedmont Heart Institute, Atlanta (United States of America)

3 More presentations in this session

Presentation thumbnail
Stratifying response to omecamtiv mecarbil in HFrEF using multiscale cardiac digital twins
Doctor E. Casoni (Barcelona, ES)
Abstract Slides Video
Presentation thumbnail
A systematic review and meta-analysis of cardiology-led care Vs general medical care in hospitalised acute decompensated heart failure patients: effects on in-hospital mortality and 30-day readmission
Ms M. Walshe (Kilkenny, IE)
Abstract Slides Video
Presentation thumbnail
STOP-DHF (a non-invasive hemodynamic-guided strategy to prevent heart failure decompensation) trial: preliminary results of medical therapy interventions study
Associate Professor A. Bohm (Bratislava, SK)
Abstract Slides Video

Access the full session

Session thumbnail
Managing acute heart failure and the end-stage bridge

The Event

Event poster

Heart Failure 2026

9 May 2026 15:30 CET
You may be interested in
thumbnail
Congress Presentation
Prognostic factors for prolonged hospital stay in heart failure.
thumbnail
Congress Presentation
Clinical and prognostic implications of prolonged hospital stay in acute heart failure: identifying patients at risk
thumbnail
Congress Presentation
Lenght of stay in patients with acutely decompensated heart failure with reduced ejection fraction - associated factors and predictors

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources