Machine Learning Improves Cardiovascular Risk Definition for Young, Asymptomatic Individuals-Reference-Cited by-同舟云学术

Machine Learning Improves Cardiovascular Risk Definition for Young, Asymptomatic Individuals

Published:2020-10 Issue:14 Volume:76 Page:1674-1685
ISSN:0735-1097
Container-title:Journal of the American College of Cardiology
language:en
Short-container-title:Journal of the American College of Cardiology

Author:

Sánchez-Cabo Fátima,Rossello Xavier,Fuster Valentín,Benito Fernando,Manzano Jose Pedro,Silla Juan Carlos,Fernández-Alvira Juan Miguel,Oliva Belén,Fernández-Friera Leticia,López-Melgar Beatriz,Mendiguren José María,Sanz Javier,Ordovás Jose María,Andrés Vicente,Fernández-Ortiz Antonio,Bueno Héctor,Ibáñez Borja,García-Ruiz José Manuel,Lara-Pezzi Enrique

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference40 articles.

1. Executive summary: heart disease and stroke statistics-2016 update: a report from the American Heart Association;Mozaffarian;Circulation,2016

2. General cardiovascular risk profile for use in primary care: the Framingham heart study;D’Agostino;Circulation,2008

3. 2019 ACC/AHA guideline on the primary prevention of cardiovascular disease;Arnett;J Am Coll Cardiol,2019

4. 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk;Mach;Eur Heart J,2019

5. Prevalence, vascular distribution, and multiterritorial extent of subclinical atherosclerosis in a middle-aged cohort the PESA (Progression of Early Subclinical Atherosclerosis) study;Fernández-Friera;Circulation,2015

Cited by 47 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An interpretable machine learning method for risk stratification of patients with acute coronary syndrome;Heliyon;2024-09

2. The AI Future of Emergency Medicine;Annals of Emergency Medicine;2024-08

3. Predicting the risk of subclinical atherosclerosis based on interpretable machine models in a Chinese T2DM population;Frontiers in Endocrinology;2024-02-27

4. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association;Circulation;2024-02-20

5. Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review;BMC Medicine;2024-02-05