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

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
Materias:
organ transplantation
Kapplan-Meier method
machine learning
ensemble
early risk prediction
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Acceso en línea:https://doaj.org/article/a8b1de2a13dc480cba6a74e66d0074a0
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https://doaj.org/article/a8b1de2a13dc480cba6a74e66d0074a0

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