Predicting Persistent AKI Using Machine Learning: A Multicenter External Validation Study

被引:0
|
作者
Kashani, Kianoush [1 ]
Zappala, Simone [2 ]
Alfieri, Francesca [2 ]
Ancona, Andrea [2 ]
机构
[1] Mayo Clin Minnesota, Rochester, MN USA
[2] U Care Med Srl, Turin, Italy
来源
关键词
D O I
10.1681/ASN.20244g6622p2
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
FR-PO082
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页数:2
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