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Conference Paper: Interpretable machine learning model for early prediction of dialysis in critically ill acute kidney injury

TitleInterpretable machine learning model for early prediction of dialysis in critically ill acute kidney injury
Authors
Yao, ChiZhan, YongleHuang, DaHuang, JingyiRuan, XiaohaoLiu, JiachengHuang, JinlunShi, RuofanNa, Rong
Issue Date5-Sep-2024
Persistent Identifierhttp://hdl.handle.net/10722/348797

 

DC FieldValueLanguage
dc.contributor.authorYao, Chi-
dc.contributor.authorZhan, Yongle-
dc.contributor.authorHuang, Da-
dc.contributor.authorHuang, Jingyi-
dc.contributor.authorRuan, Xiaohao-
dc.contributor.authorLiu, Jiacheng-
dc.contributor.authorHuang, Jinlun-
dc.contributor.authorShi, Ruofan-
dc.contributor.authorNa, Rong-
dc.date.accessioned2024-10-15T00:30:51Z-
dc.date.available2024-10-15T00:30:51Z-
dc.date.issued2024-09-05-
dc.identifier.urihttp://hdl.handle.net/10722/348797-
dc.languageeng-
dc.relation.ispartofThe 21st Urological Association of Asia Congress (05/09/2024-08/09/2024, Bali)-
dc.titleInterpretable machine learning model for early prediction of dialysis in critically ill acute kidney injury-
dc.typeConference_Paper-

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