Leveraging Machine Learning Techniques to Forecast Chronic Total Occlusion before Coronary Angiography

Background: Chronic total occlusion (CTO) remains the most challenging procedure in coronary artery disease (CAD) for interventional cardiology. Although some clinical risk factors for CAD have been identified, there is no personalized prognosis test available to confidently identify patients at hig...

Descripción completa

Detalles Bibliográficos
Autores principales: Shi, Yuchen, Zheng, Ze, Liu, Yanci, Wu, Yongxin, Wang, Ping, Liu, Jinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739483/
https://www.ncbi.nlm.nih.gov/pubmed/36498568
http://dx.doi.org/10.3390/jcm11236993

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739483/
https://www.ncbi.nlm.nih.gov/pubmed/36498568
http://dx.doi.org/10.3390/jcm11236993

Ejemplares similares