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Machine-learning fusion approach for the prediction of atrial fibrillation onset using photoplethysmographic-based smart device

27 August 2021 (08:00 - 20:00)
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Congress Presentation Part of: e-Cardiology/Digital Health ePosters Artificial Intelligence ESC Premium Access ESC Congress 2021 - The Digital Experience

About the speaker

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Doctor Luping Li

Beijing (China)

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Home monitoring program for patients following cardiac surgery
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A new clinical decision support tool based on personalized evidence-based medicine improves outcomes of anticoagulation therapy in patients with atrial fibrillation: an analysis from the AF registry
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e-Cardiology/Digital Health ePosters

The Event

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ESC Congress 2021 - The Digital Experience

27 August 2021 08:00 CET
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