Machine Learning to Predict Long-Term Cardiac-Relative Prognosis in Patients With Extra-Cardiac Vascular Disease

Machine Learning to Predict Long-Term Cardiac-Relative Prognosis in Patients With Extra-Cardiac Vascular Disease

Aim: Patients with ischemic stroke (IS), transient ischemic attack (TIA), and/or peripheral artery disease (PAD) represent a population with an increased risk of coronary artery disease. Prognostic risk assessment to identify those with the highest risk that may benefit from more intensified treatme...

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Autores principales: Guisen Lin, Qile Liu, Yuchen Chen, Xiaodan Zong, Yue Xi, Tingyu Li, Yuelong Yang, An Zeng, Minglei Chen, Chen Liu, Yanting Liang, Xiaowei Xu, Meiping Huang
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
coronary artery disease
coronary computed tomography angiography
machine learning
prognosis
extravascular disease
Diseases of the circulatory (Cardiovascular) system
RC666-701
Acceso en línea:https://doaj.org/article/5eb29879f486411493acc44a78946e55
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https://doaj.org/article/5eb29879f486411493acc44a78946e55

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