Back

Deep learning for mortality prediction in patients with a de-novo or worsened heart failure

29 August 2021 (07:51 - 08:00)
Organised by:
Congress Presentation Part of: Cutting-edge clinical investigations in heart failure Epidemiology, Prognosis, Outcome ESC Premium Access ESC Congress 2021 - The Digital Experience

About the speaker

Photo
Doctor Robert Herman

Cardiovascular Research Center Aalst, Aalst (Belgium)

4 More presentations in this session

Presentation thumbnail
Atrial fibrillation impairs dynamic right ventricular-pulmonary artery coupling and increases lung congestion during exercise in heart failure and preserved ejection fraction
Doctor K. Omote (Sapporo, JP)
Abstract Slides Video
Presentation thumbnail
Novel antisense therapy targeting microRNA-132 in patients with heart failure
Doctor J. Taubel (London, GB)
Abstract Slides Video
Presentation thumbnail
Cognitive impairment is a determinant of patient response to disease management programs to reduce readmission in heart failure
Doctor Q. Huynh (Hobart, AU)
Abstract Slides Video
Presentation thumbnail
Cardiovascular death risk in mid-range ejection fraction heart failure: insights from cardiopulmonary exercise test
Doctor G. Gallo (Rome, IT)
Abstract Slides Video

Access the full session

Session thumbnail
Cutting-edge clinical investigations in heart failure

The Event

Event poster

ESC Congress 2021 - The Digital Experience

29 August 2021 07:51 CET

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources