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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Bibliografiske detaljer
Udgivet i:Sci Rep
Main Authors: Kawakita, Satoru, Beaumont, Jennifer L., Jucaud, Vadim, Everly, Matthew J.
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2020
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Article
Online adgang: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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