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Investigating performance of deep learning and machine learning risk stratification of Asian in-hospital patients after ST-elevation myocardial infarction.

Session: Congress committee e-posters choice in e-cardiology and digital health
Topic: Artificial Intelligence (Machine Learning, Deep Learning)
Speaker: Doctor K. Ibrahim (Sungai Buloh, MY)
Event: ESC Congress 2021 - The Digital Experience

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Doctor Khairul Shafiq Ibrahim

Universiti Teknologi MARA, Sungai Buloh (Malaysia)
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11 more presentations in this session

The role of process mining tools in STEMI networks: where should we build a new primary PCI centre?

Speaker: Doctor J. Borges-Rosa (Coimbra, PT)

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Performance of a multisensory implantable cardioverter-defibrillator algorithm for remote heart failure management: the RE-HEART registry

Speaker: Doctor J. De Juan Baguda (Madrid, ES)

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Telerobotic interventions from a distance: an initial experience in 3D phantom mapping

Speaker: Doctor S. Ailoaei (Iasi, RO)

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A comparison of over-the-counter available smartwatches and devices for electrocardiogram based detection of atrial fibrillation

Speaker: Ms J. Scholten (Amsterdam, NL)

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Inter operator variability of machine learning researchers predicting all-cause mortality in patients admitted to intensive care unit

Speaker: Miss Y. Jones (Glasgow, GB)

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Congress committee e-posters choice in e-cardiology and digital health

Speakers: Doctor K. Ibrahim, Doctor J. Borges-Rosa, Doctor J. De Juan Baguda, Doctor S. Ailoaei, Ms J. Scholten...
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ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021

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