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Phenogrouping Diastolic Dysfunction by Artificial Intelligence: Learning From What We Teach the Machines |
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| Affiliation: | 1. Marcus Heart Valve Center, Piedmont Heart Institute, Atlanta, Georgia, USA;2. Mount Sinai Morningside Heart, Mount Sinai Heart, New York, New York, USA;3. Centre Hospitalier Universitaire Sart Tilman, GIGA Cardiovascular Sciences, University of Liège Hospital, Liege, Belgium;4. Gruppo Villa Maria Care and Research, Maria Cecilia Hospital, Cotignola, and Anthea Hospital, Bari, Italy |
| Abstract: | |
| Keywords: | artificial intelligence machine-learning diastolic dysfunction HFpEF |
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