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Personalized prediction of delayed graft function for recipients of deceased donor kidney transplants with machine learning
Machine learning (ML) has shown its potential to improve patient care over the last decade. In organ transplantation, delayed graft function (DGF) remains a major concern in deceased donor kidney transplantation (DDKT). To this end, we harnessed ML to build personalized prognostic models to predict...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7591492/ https://ncbi.nlm.nih.gov/pubmed/33110142 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-75473-z |
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