ESC 365 - Evaluating machine learning-based data extraction for heart failure management: a step toward optimized therapy

Open Access

Evaluating machine learning-based data extraction for heart failure management: a step toward optimized therapy

Session: From genetics to AI: advancing risk prediction and diagnosis in heart failure

Topic: Epidemiology, Prognosis, Outcome

Speaker: Doctor J. Zmazek (Maribor, SI)

Event: Heart Failure 2025

Congress Presentation

Add to my library

About the speaker

Doctor Jan Zmazek

University Medical Centre Maribor, Maribor (Slovenia)

0 follower

5 more presentations in this session

Valvular heart disease and its association with mortality in advanced heart failure

Speaker: Doctor K. Steiger (Rochester, US)

Early clinical manifestations and time-to-diagnosis in patients with ATTR amyloidosis with mixed phenotype - results from the OverTTuRe study

Speaker: Doctor L. Anderson (London, GB)

Time from first recorded clinical manifestation to diagnosis of transthyretin amyloid cardiomyopathy: a retrospective cohort study using US claims data

Speaker: Associate Professor J. Mitchell (St Louis, US)

FINARM study versus FINE-HEART pooled analysis: comparative analysis of patients with heart failure and diabetic kidney disease

Speaker: Mr E. Boada Lincango (Las Palmas de Gran Canaria, ES)

Genome-wide association study of clinical outcomes in heart failure and Mendelian randomisation analysis of the impact of elevated body mass index on disease progression

Speaker: Doctor N. Sunderland (Bristol, GB)

Access the full session

From genetics to AI: advancing risk prediction and diagnosis in heart failure

Speakers: Doctor J. Zmazek, Doctor K. Steiger, Doctor L. Anderson, Associate Professor J. Mitchell, Mr E. Boada Lincango...

About the event

Heart Failure 2025

17 May - 20 May 2025

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources

Explore sponsored resources