The framing of time-dependent machine learning models improves risk estimation among young individuals with acute coronary syndromes

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The framing of time-dependent machine learning models improves risk estimation among young individuals with acute coronary syndromes

Session: Machine learning to improve care of acute coronary syndromes

Topic: Epidemiology, Prognosis, Outcome

Speaker: Doctor L. Carvalho (Brasilia, BR)

Event: ESC Congress 2023

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Doctor Luiz Sergio Carvalho

Catholic University of Brasilia, Brasilia (Brazil)

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Machine learning to improve care of acute coronary syndromes

Speakers: Doctor L. Carvalho, Doctor P. Lopez Ayala, Doctor P. Lopez Ayala, Doctor J. Boeddinghaus, Doctor E. Gall...

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ESC Congress 2023

25 August - 28 August 2023

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