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

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Kidney transplantation,Graft survival,Machine learning,Healthcare

论文评审过程：Received 12 January 2021, Revised 28 March 2021, Accepted 16 May 2021, Available online 21 May 2021, Version of Record 26 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115235