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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Bibliographic Details
Main Authors: Yaroslav Tolstyak, Rostyslav Zhuk, Igor Yakovlev, Nataliya Shakhovska, Michal Gregus ml, Valentyna Chopyak, Nataliia Melnykova
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Applied Sciences
Subjects:
organ transplantation
Kapplan-Meier method
machine learning
ensemble
early risk prediction
Online Access:https://www.mdpi.com/2076-3417/11/21/10380

Internet

https://www.mdpi.com/2076-3417/11/21/10380

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