Machine learning models for screening carotid atherosclerosis in asymptomatic adults
Abstract Carotid atherosclerosis (CAS) is a risk factor for cardiovascular and cerebrovascular events, but duplex ultrasonography isn’t recommended in routine screening for asymptomatic populations according to medical guidelines. We aim to develop machine learning models to screen CAS in asymptomat...
Guardado en:
Autores principales: | Jian Yu, Yan Zhou, Qiong Yang, Xiaoling Liu, Lili Huang, Ping Yu, Shuyuan Chu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/1dc4decb32624ee5aea34fbc2bb4efa4 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Evolving determinants of carotid atherosclerosis vulnerability in asymptomatic patients from the MAGNETIC observational study
por: Oronzo Catalano, et al.
Publicado: (2021) -
Screening for subclinical atherosclerosis by noninvasive methods in asymptomatic patients with risk factors
por: Castellon X, et al.
Publicado: (2013) -
Gut Microbiome Alterations in Patients With Carotid Atherosclerosis
por: Jingfeng Chen, et al.
Publicado: (2021) -
Identification of Potential Key Genes Involved in the Carotid Atherosclerosis
por: Meng Y, et al.
Publicado: (2021) -
Proteinuria is independently associated with carotid atherosclerosis: a multicentric study
por: Wencai Jiang, et al.
Publicado: (2021)