Exploring phenotypes in hypertrophic cardiomyopathy with machine learning data integration. A multicentric, multimodality pilot study.

27 August 2021 (08:00 - 20:00)

Organised by:

Abstract

Sign in to view the resources

Slides

About the speaker

Doctor Filip Loncaric

University Hospital Centre Zagreb, Zagreb (Croatia)

64 More presentations in this session

Presentation thumbnail

Comparison of deep learning with traditional models to predict preventable acute care use and spending among heart failure patients

Doctor M. Lewis (Tel Aviv, IL)

Abstract Slides

Presentation thumbnail

Detection of myocardial ischemia by intracoronary ECG using convolutional neural networks

Doctor M. Bigler (Bern, CH)

Abstract Slides

Presentation thumbnail

Home monitoring program for patients following cardiac surgery

Mrs M. Sokolskaya (Moscow, RU)

Abstract Slides

Presentation thumbnail

A new clinical decision support tool based on personalized evidence-based medicine improves outcomes of anticoagulation therapy in patients with atrial fibrillation: an analysis from the AF registry

Professor E. Pokushalov (San Francisco, US)

Abstract Slides

Presentation thumbnail

Early detection of exacerbation of the severe acute respiratory syndrome coronavirus 2 infection using Fitbit (DEXTERITY Pilot Study)

Doctor K. Yamagami (Kanazawa, JP)

Abstract Slides

Access the full session

Session thumbnail

e-Cardiology/Digital Health ePosters

The Event

ESC Congress 2021 - The Digital Experience

27 August 2021 08:00 CET

You may be interested in

Congress Session

Evolutions in arrythmia and syncope management

Congress Session

Artificial intelligence in heart failure research and clinical practice

Congress Session

Artificial intelligence for detection and follow-up of heart failure: hype or hope?

ESC 365 is supported by

novartis

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources