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Interpretable machine learning models for early prediction of acute kidney injury after cardiac surgery.
Jiang, Jicheng; Liu, Xinyun; Cheng, Zhaoyun; Liu, Qianjin; Xing, Wenlu.
Affiliation
  • Jiang J; Department of Big Data Center for Cardiovascular Disease, Heart Center of Henan Provincial People's Hospital, Fuwai Central China Cardiovascular Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, China.
  • Liu X; Department of Big Data Center for Cardiovascular Disease, Heart Center of Henan Provincial People's Hospital, Fuwai Central China Cardiovascular Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, China.
  • Cheng Z; Department of Cardiovascular Surgery, Heart Center of Henan Provincial People's Hospital, Fuwai Central China Cardiovascular Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, China. chengzhy@zzu.edu.cn.
  • Liu Q; Department of Cardiovascular Surgery, Heart Center of Henan Provincial People's Hospital, Fuwai Central China Cardiovascular Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, China.
  • Xing W; Department of Big Data Center for Cardiovascular Disease, Heart Center of Henan Provincial People's Hospital, Fuwai Central China Cardiovascular Hospital, Central China Fuwai Hospital of Zhengzhou University, Zhengzhou, China.
BMC Nephrol ; 24(1): 326, 2023 11 07.
Article de En | MEDLINE | ID: mdl-37936067
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Atteinte rénale aigüe / Procédures de chirurgie cardiaque Limites: Adult / Humans Langue: En Journal: BMC Nephrol Sujet du journal: NEFROLOGIA Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Atteinte rénale aigüe / Procédures de chirurgie cardiaque Limites: Adult / Humans Langue: En Journal: BMC Nephrol Sujet du journal: NEFROLOGIA Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni