Back

Predicting incident heart failure in patients with type ii diabetes: a machine a learning approach

22 May 2023 (09:00 - 10:20)
Organised by: Logo
Congress Presentation Part of: ePosters in e-cardiology/digital health 2 m-Health & Mobile Apps HFA Premium Access Heart Failure 2023 Heart Failure Association (HFA)

About the speaker

Photo
Doctor Narinder Kaur

University of Glasgow, Glasgow (United Kingdom of Great Britain & Northern Ireland)

4 More presentations in this session

Presentation thumbnail
Budget impact of a personalized follow up in a heart failure unit based on a new model of risk stratification.
Mr P. Pajaro Merino (Huelva, ES)
Abstract Slides
Presentation thumbnail
Clinical benefits of a personalized follow up in a Heart failure unit based on a new model of risk stratification
Mr F. Caro Fernandez (Huelva, ES)
Abstract Slides
Presentation thumbnail
Remote monitoring of congestive heart failure patients in Finland: an economic analysis of the real-world hospital cost-savings.
Doctor S. Vaisanen (Espoo, FI)
Abstract Slides
Presentation thumbnail
Ontario marginalization index analysis of patients with heart failure enrolled in Medly, a remote patient management program
Doctor M. Worme (Toronto, CA)
Abstract Slides

Access the full session

Session thumbnail
ePosters in e-cardiology/digital health 2

The Event

Event poster

Heart Failure 2023

22 May 2023 09:00 CET
You may be interested in
thumbnail
Congress Session
How to implement a successful telemedicine program in heart failure
thumbnail
Congress Session
Evolutions in arrythmia and syncope management
thumbnail
Congress Presentation
Newcard telemonitoring system improves survival at a lower cost than traditional approaches in chronic heart failure patients as assessed by data extract from the French National Health Data System

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources