Prediction of acute kidney injury after cardiac surgery: model development using a Chinese electronic health record dataset.

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作者： Hang,Zhang ^[1] ; Zhongtian,Wang ^[2] ; Yingdan,Tang ^[2] ; Xin,Chen ^[2] ; Dongfang,You ^[2] ; Yaqian,Wu ^[2] ; Min,Yu ^[3] ; Wen,Chen ^[1] ; Yang,Zhao ^[4] ; Xin,Chen ^[5]

作者单位： Department of Thoracic and Cardiovascular Surgery, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, China. ^[1] Department of Biostatistics, School of Public Health, Nanjing Medical University, No. 101 Longmian Avenue, Nanjing, 211166, China. ^[2] Department of Cardiovascular Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 100 Haining Road, Shanghai, 200080, China. ^[3] Department of Biostatistics, School of Public Health, Nanjing Medical University, No. 101 Longmian Avenue, Nanjing, 211166, China. yzhao@njmu.edu.cn. ^[4] The Center of Biomedical Big Data and the Laboratory of Biomedical Big Data, Nanjing Medical University, No. 101 Longmian Avenue, Nanjing, 211166, China. yzhao@njmu.edu.cn. ^[5] Department of Thoracic and Cardiovascular Surgery, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, China. stevecx@njmu.edu.cn. ^[6]

关键词 Acute kidney injury Cardiac surgery Deep forest Machine learning Nomogram Random forest XGBoost

主题词急性肾损伤(Acute Kidney Injury);成年人(Adult);心脏外科手术(Cardiac Surgical Procedures);中国(China);电子健康病历(Electronic Health Records);人类(Humans);危险性评估(Risk Assessment)

DOI 10.1186/s12967-022-03351-5

PMID 35397573

发布时间 2022-05-18

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准确一般字义偏差语意偏离译文作用小提交