Cargando…
Machine learning-based analysis of risk factors for chronic total occlusion in an Asian population
OBJECTIVES: Chronic total occlusion (CTO) is a form of coronary artery disease (CAD) requiring percutaneous coronary intervention. There has been minimal research regarding CTO-specific risk factors and predictive models. We developed machine learning predictive models based on clinical characterist...
Autores principales: | Shi, Yuchen, Cheng, Zichao, Jian, Wen, Liu, Yanci, Liu, Jinghua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566279/ https://www.ncbi.nlm.nih.gov/pubmed/37818654 http://dx.doi.org/10.1177/03000605231202141 |
Ejemplares similares
-
A LASSO-derived developing and validating risk model for chronic total occlusion in Asian population before coronary angiography
por: Shi, Yuchen, et al.
Publicado: (2023) -
Leveraging Machine Learning Techniques to Forecast Chronic Total Occlusion before Coronary Angiography
por: Shi, Yuchen, et al.
Publicado: (2022) -
The predictive value of the triglyceride—glucose index for cardiovascular events in patients with coronary chronic total occlusion
por: Li, Yingkai, et al.
Publicado: (2022) -
Optimal use of fielder XT guidewire enhances the success rate of chronic total occlusion percutaneous coronary intervention
por: Wang, Qian-Cheng, et al.
Publicado: (2019) -
Lesion characteristics and procedural complications of chronic total occlusion percutaneous coronary intervention in patients with prior bypass surgery: A meta‐analysis
por: Shi, Yuchen, et al.
Publicado: (2022)