Tree-based survival analysis improves mortality prediction in cardiac surgery

OBJECTIVES: Machine learning (ML) classification tools are known to accurately predict many cardiac surgical outcomes. A novel approach, ML-based survival analysis, remains unstudied for predicting mortality after cardiac surgery. We aimed to benchmark performance, as measured by the concordance ind...

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Detalles Bibliográficos
Autores principales: Penny-Dimri, Jahan C., Bergmeir, Christoph, Reid, Christopher M., Williams-Spence, Jenni, Perry, Luke A., Smith, Julian A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365268/
https://www.ncbi.nlm.nih.gov/pubmed/37492161
http://dx.doi.org/10.3389/fcvm.2023.1211600

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365268/
https://www.ncbi.nlm.nih.gov/pubmed/37492161
http://dx.doi.org/10.3389/fcvm.2023.1211600

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