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Machine learning-based phenogrouping for clinical outcomes and treatment response in patients with chronic heart failure

17 May 2025 (08:00 - 12:45)
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Congress Presentation Part of: Pathophysioloy and prognosis on heart failure Epidemiology, Prognosis, Outcome HFA Premium Access Heart Failure 2025 Heart Failure Association (HFA)

About the speaker

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Doctor Motoki Nakao

Hokkaido University, Sapporo (Japan)

3 More presentations in this session

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Comparative characteristics of patients with and without transthyretin amyloid cardiomyopathy in the TTRACK study population
Professor F. Cappelli (Florence, IT)
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Effect of paracetamol on cardiovascular outcomes in patients with heart failure: a multi-center cohort study
Doctor Q. Ren (Hong Kong, HK)
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The neutrophil to lymphocyte ratio (NRL) as a predictor of nutritional status in patients with heart failure with reduced ejection fraction
Miss M. Cierzniak (Poznan, PL)
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Access the full session

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Pathophysioloy and prognosis on heart failure

The Event

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Heart Failure 2025

17 May - 20 May 2025
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ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources