Development and analysis of a comprehensive diagnostic model for aortic valve calcification using machine learning methods and artificial neural networks

BACKGROUND: Although advanced surgical and interventional treatments are available for advanced aortic valve calcification (AVC) with severe clinical symptoms, early diagnosis, and intervention is critical in order to reduce calcification progression and improve patient prognosis. The aim of this st...

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Detalles Bibliográficos
Autores principales: Xiong, Tao, Chen, Yan, Han, Shen, Zhang, Tian-Chen, Pu, Lei, Fan, Yu-Xin, Fan, Wei-Chen, Zhang, Ya-Yong, Li, Ya-Xiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751025/
https://www.ncbi.nlm.nih.gov/pubmed/36531717
http://dx.doi.org/10.3389/fcvm.2022.913776

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751025/
https://www.ncbi.nlm.nih.gov/pubmed/36531717
http://dx.doi.org/10.3389/fcvm.2022.913776

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