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Clinically aligned hierarchical machine learning for patient-level classification of valvular regurgitation severity and subtype from phonocardiograms (PCG)

29 August 2026 (08:15 - 09:00)
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Congress Presentation Part of: Long-term outcomes in regurgitant valve disease Aortic Valve Regurgitation ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Mrs Huizi Yu

Prince of Wales University Hospital, Shatin (Hong Kong)

6 More presentations in this session

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Long-term outcomes of combined significant aortic regurgitation and mitral regurgitation versus isolated aortic regurgitation
Mr C. Ng (Leiden, NL)
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Long term follow up of patients with asymptomatic moderate–to-severe aortic stenosis in a real world cohort
Doctor G. Perena Rodriguez (Valladolid, ES)
Abstract Slides
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A novel cardiac staging system for aortic regurgitation: integrating volumetrics and strain for prognosis
Assistant Professor J. Son (Seoul, KR)
Abstract Slides
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Comparison of clinical characteristics and long-term prognosis between isolated mitral regurgitation and isolated tricuspid regurgitation in patients with atrial fibrillation
Assistant Professor K. Huang (Hsinchu, TW)
Abstract Slides
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Long-term outcomes and determinants of progression in moderate aortic regurgitation with and without concomitant valvular heart disease
Doctor G. Benzoni (Milan, IT)
Abstract Slides

Access the full session

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Long-term outcomes in regurgitant valve disease

The Event

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ESC Congress 2026

29 August 2026 08:15 CET
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