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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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| Опубликовано в: : | Front Cardiovasc Med |
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| Главные авторы: | , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Frontiers Media S.A.
2021
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| Предметы: | |
| Online-ссылка: | 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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