Development and Validation of a Predictive Model for Coronary Artery Disease Using Machine Learning

Early identification of coronary artery disease (CAD) can prevent the progress of CAD and effectually lower the mortality rate, so we intended to construct and validate a machine learning model to predict the risk of CAD based on conventional risk factors and lab test data. There were 3,112 CAD pati...

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Detalles Bibliográficos
Autores principales: Wang, Chen, Zhao, Yue, Jin, Bingyu, Gan, Xuedong, Liang, Bin, Xiang, Yang, Zhang, Xiaokang, Lu, Zhibing, Zheng, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902072/
https://www.ncbi.nlm.nih.gov/pubmed/33634169
http://dx.doi.org/10.3389/fcvm.2021.614204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902072/
https://www.ncbi.nlm.nih.gov/pubmed/33634169
http://dx.doi.org/10.3389/fcvm.2021.614204

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