ESC 365 - Deep learning for mortality prediction in patients with a de-novo or worsened heart failure

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

Session: Cutting-edge clinical investigations in heart failure

Topic: Epidemiology, Prognosis, Outcome

Speaker: Doctor R. Herman (Aalst, BE)

Event: ESC Congress 2021 - The Digital Experience

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Doctor Robert Herman

Cardiovascular Research Center Aalst, Aalst (Belgium)

3 presentations

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4 more presentations in this session

Atrial fibrillation impairs dynamic right ventricular-pulmonary artery coupling and increases lung congestion during exercise in heart failure and preserved ejection fraction

Speaker: Doctor K. Omote (Sapporo, JP)

Novel antisense therapy targeting microRNA-132 in patients with heart failure

Speaker: Doctor J. Taubel (London, GB)

Cognitive impairment is a determinant of patient response to disease management programs to reduce readmission in heart failure

Speaker: Doctor Q. Huynh (Melbourne, AU)

Cardiovascular death risk in mid-range ejection fraction heart failure: insights from cardiopulmonary exercise test

Speaker: Doctor G. Gallo (Rome, IT)

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Cutting-edge clinical investigations in heart failure

Speakers: Doctor R. Herman, Doctor K. Omote, Doctor J. Taubel, Doctor Q. Huynh, Doctor G. Gallo

About the event

ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021

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