The Ensembles of Machine Learning Methods for Survival Predicting after Kidney Transplantation

Machine learning is used to develop predictive models to diagnose different diseases, particularly kidney transplant survival prediction. The paper used the collected dataset of patients’ individual parameters to predict the critical risk factors associated with early graft rejection. Our study show...

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Autores principales: Yaroslav Tolstyak, Rostyslav Zhuk, Igor Yakovlev, Nataliya Shakhovska, Michal Gregus ml, Valentyna Chopyak, Nataliia Melnykova
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/a8b1de2a13dc480cba6a74e66d0074a0
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