Machine Learning to Stratify Risk in Low-Gradient Aortic Stenosis Among Medicare Beneficiaries - 03/02/25
Doi : 10.1016/j.echo.2024.10.010
Sean W. Dooley, MD
Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
Naveena V.K. Yanamala, PhD
Division of Cardiovascular Diseases and Hypertension, Rutgers Robert Wood Johnson Medical School at New Brunswick, New Brunswick, New Jersey
Nora Al-Roub, MBBS
Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
Nicholas Spetko, MD
Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
Madeline A. Cassidy, BS, Constance Angell-James, MPH
Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
Partho P. Sengupta, MD
Rutgers Robert Wood Johnson Medical School at New Brunswick, New Brunswick, New Jersey
Jordan B. Strom, MD, MSc
Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
Harvard Medical School, Boston, Massachusetts
Mappa
© 2024
American Society of Echocardiography. Pubblicato da Elsevier Masson SAS. Tutti i diritti riservati.
Vol 38 - N° 2
P. 129-132 - febbraio 2025 Ritorno al numero
Articolo precedente
- Application of Machine Learning Technology to Automate Thoracic Aorta Dimensions by Echocardiography
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