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...

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Detalles Bibliográficos
Autores principales: Andres, Axel, Montano-Loza, Aldo, Greiner, Russell, Uhlich, Max, Jin, Ping, Hoehn, Bret, Bigam, David, Shapiro, James Andrew Mark, Kneteman, Norman Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
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

Internet

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

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