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...

Full description

Saved in:
Bibliographic Details
Main Authors: Yaroslav Tolstyak, Rostyslav Zhuk, Igor Yakovlev, Nataliya Shakhovska, Michal Gregus ml, Valentyna Chopyak, Nataliia Melnykova
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
T
Online Access:https://doaj.org/article/a8b1de2a13dc480cba6a74e66d0074a0
Tags: Add Tag
No Tags, Be the first to tag this record!