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

Abstract 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...

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Prif Awduron:	Georgios Kantidakis, Hein Putter, Carlo Lancia, Jacob de Boer, Andries E. Braat, Marta Fiocco
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	BMC 2020-11-01
Cyfres:	BMC Medical Research Methodology
Pynciau:	Random survival forest Neural networks Predictive performance Risk factors Post-transplantation Survival analysis
Mynediad Ar-lein:	http://link.springer.com/article/10.1186/s12874-020-01153-1
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