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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...
Autores principales: | Shi, Yuchen, Zheng, Ze, Liu, Yanci, Wu, Yongxin, Wang, Ping, Liu, Jinghua |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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