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Supplementing Existing Societal Risk Models for Surgical Aortic Valve Replacement With Machine Learning for Improved Prediction
BACKGROUND: This study evaluated the role of supplementing Society of Thoracic Surgeons (STS) risk models for surgical aortic valve replacement with machine learning (ML). METHODS AND RESULTS: Adults undergoing isolated surgical aortic valve replacement in the STS National Database between 2007 and...
Autores principales: | Kilic, Arman, Habib, Robert H., Miller, James K., Shahian, David M., Dearani, Joseph A., Dubrawski, Artur W. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751954/ https://www.ncbi.nlm.nih.gov/pubmed/34658259 http://dx.doi.org/10.1161/JAHA.120.019697 |
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