Machine learning model for predicting acute kidney injury progression in critically ill patients

被引：0

作者：

Canzheng Wei

Lifan Zhang

Yunxia Feng

Aijia Ma

Yan Kang

机构：

[1] West China Hospital of Sichuan University,Department of Critical Care Medicine

[2] West China Hospital of Sichuan University,Department of Gastroenterology

[3] University of Electronic Science and Technology of China,Department of Nephrology, Mianyan Central Hospital

来源：

BMC Medical Informatics and Decision Making | / 22卷

关键词：

Acute kidney injury; Critical care; Logistic Models; Extreme gradient boosting;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 235 条

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[5] Sileanu FE(2020)Furosemide stress test as a predictive marker of acute kidney injury progression or renal replacement therapy: a systemic review and meta-analysis Crit Care 24 202-31
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