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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Detalles Bibliográficos
Autores principales: Mamprin, Marco, Zelis, Jo M., Tonino, Pim A. L., Zinger, Sveta, de With, Peter H. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915084/
https://www.ncbi.nlm.nih.gov/pubmed/33572063
http://dx.doi.org/10.3390/bioengineering8020022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915084/
https://www.ncbi.nlm.nih.gov/pubmed/33572063
http://dx.doi.org/10.3390/bioengineering8020022

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