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A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study
Accurate prediction of graft survival after kidney transplant is limited by the complexity and heterogeneity of risk factors influencing allograft survival. In this study, we applied machine learning methods, in combination with survival statistics, to build new prediction models of graft survival t...
Autores principales: | Yoo, Kyung Don, Noh, Junhyug, Lee, Hajeong, Kim, Dong Ki, Lim, Chun Soo, Kim, Young Hoon, Lee, Jung Pyo, Kim, Gunhee, Kim, Yon Su |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5567098/ https://www.ncbi.nlm.nih.gov/pubmed/28827646 http://dx.doi.org/10.1038/s41598-017-08008-8 |
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