Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation

BACKGROUND: Risk prediction is crucial in many areas of medical practice, such as cardiac transplantation, but existing clinical risk-scoring methods have suboptimal performance. We develop a novel risk prediction algorithm and test its performance on the database of all patients who were registered...

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Detalles Bibliográficos
Autores principales: Yoon, Jinsung, Zame, William R., Banerjee, Amitava, Cadeiras, Martin, Alaa, Ahmed M., van der Schaar, Mihaela
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/PMC5874060/
https://www.ncbi.nlm.nih.gov/pubmed/29590219
http://dx.doi.org/10.1371/journal.pone.0194985

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874060/
https://www.ncbi.nlm.nih.gov/pubmed/29590219
http://dx.doi.org/10.1371/journal.pone.0194985

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