Model-driven survival prediction after congenital heart surgery

OBJECTIVES: The objective of the study was to improve postoperative risk assessment in congenital heart surgery by developing a machine-learning model based on readily available peri- and postoperative parameters. METHODS: Our bicentric retrospective data analysis from January 2014 to December 2019...

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Detalles Bibliográficos
Autores principales: Zürn, Christoph, Hübner, David, Ziesenitz, Victoria C, Höhn, René, Schuler, Lena, Schlange, Tim, Gorenflo, Matthias, Kari, Fabian A, Kroll, Johannes, Loukanov, Tsvetomir, Klemm, Rolf, Stiller, Brigitte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Congenital Disease
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493173/
https://www.ncbi.nlm.nih.gov/pubmed/37279735
http://dx.doi.org/10.1093/icvts/ivad089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10493173/
https://www.ncbi.nlm.nih.gov/pubmed/37279735
http://dx.doi.org/10.1093/icvts/ivad089

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