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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Detaylı Bibliyografya
Yayımlandı:PLoS One
Asıl Yazarlar: Yoon, Jinsung, Zame, William R., Banerjee, Amitava, Cadeiras, Martin, Alaa, Ahmed M., van der Schaar, Mihaela
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Public Library of Science 2018
Konular:
Research Article
Online Erişim: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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