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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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| Publicado no: | Front Cardiovasc Med |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7902072/ https://ncbi.nlm.nih.gov/pubmed/33634169 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fcvm.2021.614204 |
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