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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...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5874060/ https://ncbi.nlm.nih.gov/pubmed/29590219 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0194985 |
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