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Clinical Epidemiology Volume 15, 2023 - Issue
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ORIGINAL RESEARCH

An Explainable Machine Learning Model to Predict Acute Kidney Injury After Cardiac Surgery: A Retrospective Cohort Study

Yuchen Gao1 Department of Anesthesiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of ChinaView further author information
,
Chunrong Wang2 Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of ChinaView further author information
,
Wenhao Dong3 Department of Surgical Intensive Care Unit & Anesthesiology, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of ChinaView further author information
,
Bianfang Li3 Department of Surgical Intensive Care Unit & Anesthesiology, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of ChinaView further author information
,
Jianhui Wang1 Department of Anesthesiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of ChinaView further author information
,
Jun Li1 Department of Anesthesiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of ChinaView further author information
,
Yu Tian1 Department of Anesthesiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of ChinaView further author information
,
Jia Liu1 Department of Anesthesiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center of Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of ChinaView further author information
&
Yuefu Wang3 Department of Surgical Intensive Care Unit & Anesthesiology, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of ChinaCorrespondence[email protected]
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Pages 1145-1157 | Received 25 Jan 2023, Accepted 27 Sep 2023, Published online: 03 Dec 2023

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