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

IF 5.4 2区医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS

Journal of the American Society of Echocardiography Pub Date : 2024-10-29 DOI:10.1016/j.echo.2024.10.010

Sean W Dooley, Naveena V K Yanamala, Nora Al-Roub, Nicholas Spetko, Madeline Cassidy, Constance Angell-James, Partho P Sengupta, Jordan B Strom

引用次数: 0

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通过机器学习对医疗保险受益人低梯度主动脉瓣狭窄的风险进行分层。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of the American Society of Echocardiography 医学-心血管系统

CiteScore

9.50

自引率

12.30%

发文量

257

审稿时长

66 days

期刊介绍： The Journal of the American Society of Echocardiography(JASE) brings physicians and sonographers peer-reviewed original investigations and state-of-the-art review articles that cover conventional clinical applications of cardiovascular ultrasound, as well as newer techniques with emerging clinical applications. These include three-dimensional echocardiography, strain and strain rate methods for evaluating cardiac mechanics and interventional applications.