Back

Predicting mortality of type-2 diabetes mellitus by applying machine learning to electronic medical records in the west of scotland and hong kong

1 September 2024 (15:00 - 15:50)
Organised by: Logo
Congress Presentation Part of: Progress and challenges in artificial intelligence for cardiovascular risk assessment and diagnosis Artificial Intelligence ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

Photo
Doctor Narinder Kaur

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

8 More presentations in this session

Presentation thumbnail
Importance and limits of cardiovascular risk factors on the prediction of SCD using machine learning approach.
Professor X. Jouven (Paris, FR)
Abstract Slides Video
Presentation thumbnail
Fully automated artificial intelligence-based cine cardiac magnetic resonance image quantification
Mr P. Mohammadi Kazaj (Bern, CH)
Abstract Slides Video
Presentation thumbnail
Preventing unnecessary echocardiograms in de novo patients referred to the cardiology outpatient clinic using electrocardiogram-based deep learning
Mr B. Arends (Utrecht, NL)
Abstract Slides Video
Presentation thumbnail
Barriers and facilitators for implementation of AI algorithms for ECG analysis and triage in patients with chest pain
Mr B. Arends (Utrecht, NL)
Abstract Slides Video
Presentation thumbnail
An explainable AI for trustworthy detection of atrial fibrillation on reduced lead ECGs in mobile applications
Mr A. Hammer (Dresden, DE)
Abstract Slides Video

Access the full session

Session thumbnail
Progress and challenges in artificial intelligence for cardiovascular risk assessment and diagnosis

The Event

Event poster

ESC Congress 2024

1 September 2024 15:00 CET
You may be interested in
thumbnail
Congress Presentation
Use of machine learning to predict mortality in patients with type 2 diabetes mellitus, according to socioeconomic status
thumbnail
Congress Presentation
Novel support tool for predicting incident heart failure in type-2 diabetes mellitus: a precision medicine approach
thumbnail
Congress Session
Obesity and diabetes: risk assessment and prognosis

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources