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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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Pubblicato in:BMC Med Res Methodol
Autori principali: Kantidakis, Georgios, Putter, Hein, Lancia, Carlo, Boer, Jacob de, Braat, Andries E., Fiocco, Marta
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2020
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7667810/
https://ncbi.nlm.nih.gov/pubmed/33198650
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-020-01153-1
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