MACHINE LEARNING MODELS FOR PREDICTING ACUTE KIDNEY INJURY: A SYSTEMATIC REVIEW

被引:0
作者
Vagliano, Iacopo [1 ]
Chesnaye, Nicholas [1 ,3 ]
Leopold, Jan Hendrik [1 ,2 ]
Jager, Kitty J. [1 ,3 ]
Abu Hanna, Ameen [1 ,2 ]
Schut, Martijn C. [1 ]
机构
[1] Univ Amsterdam, Amsterdam UMC, Dept Med Informat, Amsterdam, Netherlands
[2] ERA EDTA Registry, Amsterdam, Netherlands
[3] Amsterdam Publ Hlth Res Inst, Amsterdam, Netherlands
关键词
D O I
暂无
中图分类号
R3 [基础医学]; R4 [临床医学];
学科分类号
1001 ; 1002 ; 100602 ;
摘要
MO360
引用
收藏
页数:1
相关论文
共 50 条
[41]   Predicting acute kidney injury after orthotopic liver transplantation using machine learning [J].
Bishara, A. ;
Kothari, R. ;
Lituiev, D. ;
Hannon, V ;
Bokoch, M. ;
Niemann, C. ;
Hadley, D. ;
Adelmann, D. .
TRANSPLANTATION, 2019, 103 (08) :75-75
[42]   Interpretable machine learning model for predicting acute kidney injury in critically ill patients [J].
Li, Xunliang ;
Wang, Peng ;
Zhu, Yuke ;
Zhao, Wenman ;
Pan, Haifeng ;
Wang, Deguang .
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2024, 24 (01)
[43]   Machine learning model for predicting acute kidney injury progression in critically ill patients [J].
Canzheng Wei ;
Lifan Zhang ;
Yunxia Feng ;
Aijia Ma ;
Yan Kang .
BMC Medical Informatics and Decision Making, 22
[44]   Predicting Acute Kidney Injury: A Machine Learning Approach Using Electronic Health Records [J].
Abdullah, Sheikh S. ;
Rostamzadeh, Neda ;
Sedig, Kamran ;
Garg, Amit X. ;
McArthur, Eric .
INFORMATION, 2020, 11 (08)
[45]   Predicting outcomes of acute kidney injury in critically ill patients using machine learning [J].
Fateme Nateghi Haredasht ;
Liesbeth Viaene ;
Hans Pottel ;
Wouter De Corte ;
Celine Vens .
Scientific Reports, 13
[46]   Machine Learning to Predict Acute Kidney Injury [J].
Wilson, F. Perry .
AMERICAN JOURNAL OF KIDNEY DISEASES, 2020, 75 (06) :965-967
[47]   Machine learning models for predicting pre-eclampsia: a systematic review protocol [J].
Ranjbar, Amene ;
Taeidi, Elham ;
Mehrnoush, Vahid ;
Roozbeh, Nasibeh ;
Darsareh, Fatemeh .
BMJ OPEN, 2023, 13 (09)
[48]   A SYSTEMATIC REVIEW OF MACHINE LEARNING MODELS FOR PREDICTING OUTCOMES OF STROKE WITH STRUCTURED DATA [J].
Wang, W. ;
Kiik, M. ;
Peek, N. ;
Curcin, V. ;
Marshall, I. ;
Rudd, A. ;
Wang, Y. ;
Douiri, A. ;
Wolfe, C. ;
Bray, B. .
INTERNATIONAL JOURNAL OF STROKE, 2020, 15 (1_SUPPL) :641-641
[49]   A systematic review of machine learning models for predicting outcomes of stroke with structured data [J].
Wang, Wenjuan ;
Kiik, Martin ;
Peek, Niels ;
Curcin, Vasa ;
Marshall, Iain J. ;
Rudd, Anthony G. ;
Wang, Yanzhong ;
Douiri, Abdel ;
Wolfe, Charles D. ;
Bray, Benjamin .
PLOS ONE, 2020, 15 (06)
[50]   Machine Learning for Predicting Stillbirth: A Systematic Review [J].
Li, Qingyuan ;
Li, Pan ;
Chen, Junyu ;
Ren, Ruyu ;
Ren, Ni ;
Xia, Yinyin .
REPRODUCTIVE SCIENCES, 2025, 32 (05) :1388-1398