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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Materias: | |
| 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 |