An explainable supervised machine learning predictor of acute kidney injury after adult deceased donor liver transplantation

被引：0
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作者：
Yihan Zhang
Dong Yang
Zifeng Liu
Chaojin Chen
Mian Ge
Xiang Li
Tongsen Luo
Zhengdong Wu
Chenguang Shi
Bohan Wang
Xiaoshuai Huang
Xiaodong Zhang
Shaoli Zhou
Ziqing Hei
机构：
[1] The Third Affiliated Hospital of Sun Yat-Sen University,Department of Anesthesiology
[2] Guangzhou AID Cloud Technology Co.,Department of Clinical Data Center
[3] LTD,Department of Information
[4] The Third Affiliated Hospital of Sun Yat-Sen University,Department of Anesthesiology
[5] The Third Affiliated Hospital of Sun Yat-Sen University,undefined
[6] The Third Affiliated Hospital of Sun Yat-Sen University,undefined
[7] Yuedong Hospital,undefined
来源：
Journal of Translational Medicine | / 19卷
关键词：
Kidney dysfunction; Liver transplant; SHapley Additive exPlaination methods; SHAP value; Gradient boosting machine; Perioperative medicine; Big data; Artificial intelligence; Prognostic predictor; Clinical assisting tool;
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