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

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

BackgroundAlthough 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 stud...

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Bibliographic Details
Main Authors: Tao Xiong, Yan Chen, Shen Han, Tian-Chen Zhang, Lei Pu, Yu-Xin Fan, Wei-Chen Fan, Ya-Yong Zhang, Ya-Xiong Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
aortic valve calcification
diagnostic model
machine learning
immune infiltration
diagnostic marker
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.913776/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.913776/full

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