Machine learning for the prediction of all-cause mortality in patients with sepsis-associated acute kidney injury during hospitalization.

Hongshan Zhou,Leping Liu,Qinyu Zhao,Xin Jin,Zhangzhe Peng,Wei Wang, Ling Huang,Yanyun Xie,Hui Xu,Lijian Tao,Xiangcheng Xiao,Wannian Nie,Fang Liu,Li Li,Qiongjing Yuan

Frontiers in immunology（2023）

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摘要

After selecting 15 crucial variables, a machine learning-based model for predicting the mortality of S-AKI patients was successfully established and the CatBoost model demonstrated best predictive performance.

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关键词

acute kidney injury,machine learning,mortality,predictive model,sepsis

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