A machine learning framework for predicting long-term graft survival after kidney transplantation

•A comprehensive machine learning framework is developed.•Long-term outcomes of Kidney Transplantation are predicted.•Pre, peri, and post Transplantation are considered.•Extensive experiments are conducted to show the robustness the proposed models. Kidney transplantation (KT) is an optimal treatmen...

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Veröffentlicht in:	Expert systems with applications 2021-11, Vol.182, p.115235, Article 115235
Hauptverfasser:	Badrouchi, Samarra, Ahmed, Abdulaziz, Mongi Bacha, Mohamed, Abderrahim, Ezzedine, Ben Abdallah, Taieb
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Decision support systems Decision trees Graft survival Grafting Health services Healthcare Kidney transplantation Kidney transplants Learning theory Machine learning Operators (mathematics) Prediction models Survival
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