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Neuronal nets and logistic regression analysis provide improved prediction of infective endocarditis compared to the modified Duke Score: a post-hoc analysis of the prospective PRO-ENDOCARDITIS study

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Congress Presentation

About the speaker

Mr Lukas Hermann Vogel

University of Duisburg-Essen - West-German Heart and Vascular Center, Essen (Germany)
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Predicting cardiovascular risk factors from facial & full body photography using deep learning

Speaker: Mr M. Knorr (Hamburg, DE)

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Cardiovascular disease risk prediction via machine learning using mental health data

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Speaker: Doctor M. Marketou (Heraklion, GR) Doctor E. Angelaki (Heraklion, GR)

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Access the full session

e-Cardiology/Digital health - Artificial intelligence 2

Speakers: Mr L. Vogel, Professor S. Kasim, Doctor C. Veiga, Mr M. Knorr, Doctor J. Verjans...
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About the event

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ESC Congress 2022

26 August - 29 August 2022

Sessions Presentations

ESC 365 is supported by

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