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Decision Trees for Predicting Mortality in Transcatheter Aortic Valve Implantation
Current prognostic risk scores in cardiac surgery do not benefit yet from machine learning (ML). This research aims to create a machine learning model to predict one-year mortality of a patient after transcatheter aortic valve implantation (TAVI). We adopt a modern gradient boosting on decision tree...
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| Publicado no: | Bioengineering (Basel) |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7915084/ https://ncbi.nlm.nih.gov/pubmed/33572063 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/bioengineering8020022 |
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