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Machine Learning for Diastology and Heart Failure With Preserved Ejection Fraction: Hype or Hope?
Institution:1. National Heart Centre, Singapore, Singapore;2. Duke-National University of Singapore Medical School, Singapore, Singapore;3. University Medical Centre Groningen, Groningen, The Netherlands;4. CardioVascular Institute and Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts;5. Harvard Medical School, Boston, Massachusetts;1. Department of Biomedical Engineering, Medical College of Wisconsin, and Marquette University, Milwaukee, Wisconsin;2. Division of Pediatric Cardiology, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin;3. Division of Pediatric Cardiothoracic Surgery, Department of Surgery, Medical College of Wisconsin, Herma Heart Institute, Children''s Wisconsin, Milwaukee, Wisconsin;4. Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin;5. Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin;6. Department of Medicine, Division of Cardiovascular Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin;7. Department of Mathematics and Statistical Sciences, Marquette University, Milwaukee, Wisconsin;1. University of Washington School of Medicine, Seattle, Washington;2. Indiana University School of Medicine, Indianapolis, Indiana;1. Labatt Family Heart Center, Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada;2. Fetal and Neonatal Cardiology Program, Division of Cardiology, Department of Pediatrics, Stollery Children’s Hospital, Edmonton, Alberta, Canada;3. Department of Obstetrics & Gynecology, University of Alberta, Edmonton, Alberta, Canada;1. Department of Cardiology and the Department of Medicine, Scripps Mercy Hospital, San Diego, California;2. Brown University, Providence, Rhode Island
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