ESC 365 - Accurate detection of dilated cardiomyopathy onset through machine learning predictions from ECG data

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Accurate detection of dilated cardiomyopathy onset through machine learning predictions from ECG data

Session: Machine-learning approaches for the diagnosis of heart failure

Topic: Diagnostic Methods

Speaker: Doctor E. Sieliwonczyk (Antwerpen, BE)

Event: ESC Congress 2024

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About the speaker

Doctor Ewa Sieliwonczyk

University Hospital Antwerp, Antwerpen (Belgium)

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7 more presentations in this session

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Construction of an inflammatory, nutritional, and metabolic prognostic risk score in patients with heart failure with preserved ejection fraction: a machine learning-based approach

Speaker: Doctor J. Feng (Beijing, CN)

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Speaker: Professor O. Nielsen (Copenhagen, DK)

Diagnostic and prognostic evaluation of an echocardiography-based artificial intelligence algorithm for detecting HFpEF: a case-control analysis

Speaker: Assistant Professor A. Chandra (Dallas, US)

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Machine-learning approaches for the diagnosis of heart failure

Speakers: Doctor E. Sieliwonczyk, Mr A. Alrumayh, Doctor C. Baumeier, Doctor J. Feng, Professor O. Nielsen...

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ESC Congress 2024

30 August - 2 September 2024

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