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Machine Learning to Stratify Risk in Low-Gradient Aortic Stenosis Among Medicare Beneficiaries.

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Bibliographic Details
Title: Machine Learning to Stratify Risk in Low-Gradient Aortic Stenosis Among Medicare Beneficiaries.
Authors: Dooley SW; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts., Yanamala NVK; Division of Cardiovascular Diseases and Hypertension, Rutgers Robert Wood Johnson Medical School at New Brunswick, New Brunswick, New Jersey., Al-Roub N; Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts., Spetko N; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts., Cassidy MA; Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts., Angell-James C; Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts., Sengupta PP; Rutgers Robert Wood Johnson Medical School at New Brunswick, New Brunswick, New Jersey., Strom JB; Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Source: Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography [J Am Soc Echocardiogr] 2025 Feb; Vol. 38 (2), pp. 129-132. Date of Electronic Publication: 2024 Oct 30.
Publication Type: Journal Article
Journal Info: Publisher: Mosby-Year Book Country of Publication: United States NLM ID: 8801388 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-6795 (Electronic) Linking ISSN: 08947317 NLM ISO Abbreviation: J Am Soc Echocardiogr Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:1097-6795
DOI:10.1016/j.echo.2024.10.010