Utilization of interpretable machine learning model to forecast the risk of major adverse kidney events in elderly patients in critical care

Lin Wanga Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, Hunan, ChinaView further author information

Shao-Bin Duana Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, Hunan, ChinaCorrespondence[email protected]
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Ping Yana Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, Hunan, ChinaView further author information

Xiao-Qin Luoa Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital of Central South University, Changsha, Hunan, ChinaView further author information

Ning-Ya Zhangb Information Center, The Second Xiangya Hospital of Central South University, Changsha, Hunan, ChinaView further author information

Utilization of interpretable machine learning model to forecast the risk of major adverse kidney events in elderly patients in critical care

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Utilization of interpretable machine learning model to forecast the risk of major adverse kidney events in elderly patients in critical care

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