The impact of artificial intelligence and big data on end-stage kidney disease treatments

作者：

Highlights：

• Narrative review of machine learning methods used on end-stage kidney disease.

• Techniques to predict survival in kidney transplantation and dialysis therapy.

• Models used to analyze the incidence of infection or tacrolimus toxicity.

• Algorithms used to analyze other dialysis variables to predict mortality.

摘要

•Narrative review of machine learning methods used on end-stage kidney disease.•Techniques to predict survival in kidney transplantation and dialysis therapy.•Models used to analyze the incidence of infection or tacrolimus toxicity.•Algorithms used to analyze other dialysis variables to predict mortality.

论文关键词：Artificial intelligence,Machine learning,Big data,End-stage renal disease,Kidney transplantation,Dialysis

论文评审过程：Received 30 September 2020, Revised 5 January 2021, Accepted 17 April 2021, Available online 21 April 2021, Version of Record 7 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115076