ESC 365 - Predicting mortality of type-2 diabetes mellitus by applying machine learning to electronic medical records in the west of scotland and hong kong

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

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

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Miss N. Kaur (Glasgow, GB)

Event: ESC Congress 2024

Congress Presentation

About the speaker

Miss Narinder Kaur

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

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8 more presentations in this session

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Barriers and facilitators for implementation of AI algorithms for ECG analysis and triage in patients with chest pain

Speaker: Mr B. Arends (Utrecht, NL)

An explainable AI for trustworthy detection of atrial fibrillation on reduced lead ECGs in mobile applications

Speaker: Mr A. Hammer (Dresden, DE)

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

Speakers: Miss N. Kaur, Professor X. Jouven, Mr P. Mohammadi Kazaj, Mr B. Arends, Mr B. Arends...

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ESC Congress 2024

30 August - 2 September 2024

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