Back

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

27 August 2021 (00:00 - 00:00)
Organised by:
Congress Presentation Part of: e-Cardiology/Digital Health ePosters Artificial Intelligence ESC Premium Access ESC Congress 2021 - The Digital Experience

About the speaker

Photo
Mr Maor Lewis

Tel Aviv University, Tel Aviv (Israel)

64 More presentations in this session

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
Presentation thumbnail
Patient empowerment: a way to improve the communication between young persons and healthcare providers
Ms M. Acuna Mora (Boras, SE)
Abstract Slides

Access the full session

Session thumbnail
e-Cardiology/Digital Health ePosters

The Event

Event poster

ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021
You may be interested in
thumbnail
Congress Session
Evolutions in arrythmia and syncope management
thumbnail
Congress Session
Artificial intelligence in heart failure research and clinical practice
thumbnail
Congress Presentation
Artificial intelligence in echocardiography: what will the future bring?

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources