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A novel learning algorithm to predict individual survival after liver transplantation for primary sclerosing cholangitis
Deciding who should receive a liver transplant (LT) depends on both urgency and utility. Most survival scores are validated through discriminative tests, which compare predicted outcomes between patients. Assessing post-transplant survival utility is not discriminate, but should be “calibrated” to b...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5854273/ https://www.ncbi.nlm.nih.gov/pubmed/29543895 http://dx.doi.org/10.1371/journal.pone.0193523 |