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Ms Yi-Kei Tse

The University of Hong Kong, Hong Kong (Hong Kong)

Machine learning-derived echocardiographic phenotypes predict outcome in tricuspid annuloplasty

Event: Heart Failure 2022

Topic: Intervention

Session: Heart Failure ePosters - focus on Valvular Heart Disease & Interventional Cardiology

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Impact of proportionality of tricuspid regurgitation on outcome after tricuspid annuloplasty

Event: EuroEcho 2021

Topic: Imaging of Valvular Heart Disease

Session: e-posters session - Cross-Modality and Multi-Modality Imaging Topics

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Prognostic role of right ventricular geometry and function in patients undergoing double valve surgery

Event: ESC Congress 2021 - The Digital Experience

Topic: Valves

Session: Congress committee e-posters choice in aortic and intervention

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Prognostic value of longitudinal assessment of hepatorenal function and nutritional status in patients undergoing valvular heart surgery

Event: ESC Congress 2021 - The Digital Experience

Topic: Valves

Session: Cardiovascular Surgery ePosters

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Prognostic role of combined hepatorenal dysfunction and malnutrition in patients undergoing valvular heart surgery

Event: Heart Failure 2021

Topic: Noncoronary Cardiac Intervention

Session: Valvular Heart Disease and Interventional Cardiology

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