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