Survival prediction models since liver transplantation - comparisons between Cox models and machine learning techniques

BACKGROUND: Predicting survival of recipients after liver transplantation is regarded as one of the most important challenges in contemporary medicine. Hence, improving on current prediction models is of great interest.Nowadays, there is a strong discussion in the medical field about machine learnin...

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Detalles Bibliográficos
Autores principales: Kantidakis, Georgios, Putter, Hein, Lancia, Carlo, Boer, Jacob de, Braat, Andries E., Fiocco, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7667810/
https://www.ncbi.nlm.nih.gov/pubmed/33198650
http://dx.doi.org/10.1186/s12874-020-01153-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7667810/
https://www.ncbi.nlm.nih.gov/pubmed/33198650
http://dx.doi.org/10.1186/s12874-020-01153-1

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