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

25 August 2023 (07:30 - 18:30)
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Congress Presentation Part of: Machine learning to improve care of acute coronary syndromes Epidemiology, Prognosis, Outcome ESC Professional Premium Access ESC Congress 2023 European Society of Cardiology

About the speaker

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Doctor Luiz Sergio Carvalho

Sirio Libanes Hospital, Brasilia (Brazil)

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Derivation and external validation of machine-learning- models for risk stratification in chest pain with normal troponin
Doctor P. Lopez Ayala (Basel, CH)
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External validation of the myocardial-ischemic-injury-index: a machine learning algorithm for the early diagnosis of myocardial infarction
Doctor P. Lopez Ayala (Basel, CH)
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Machine learning versus guideline recommended pathways for the diagnosis of myocardial infarction
Doctor J. Boeddinghaus (Basel, CH)
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Machine learning for in-hospital cardiac events prediction in patients with acute coronary syndrome: results from ADDICT-ICCU study
Doctor E. Gall (Paris, FR)
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Deep learning to predict long-term mortality from plain chest radiographs in patients referred for suspected angina
Doctor M. Massussi (Brescia, IT)
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Machine learning to improve care of acute coronary syndromes
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The Event

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ESC Congress 2023

25 August - 28 August 2023

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources