Urine output as one of the most important features in differentiating in-hospital death among patients receiving extracorporeal membrane oxygenation: a random forest approach

被引：0

作者：

Sheng-Nan Chang

Nian-Ze Hu

Jo-Hsuan Wu

Hsun-Mao Cheng

James L. Caffrey

Hsi-Yu Yu

Yih-Sharng Chen

Jiun Hsu

Jou-Wei Lin

机构：

[1] National Taiwan University Hospital Yunlin Branch,Cardiovascular Center

[2] National Taiwan University,Department of Medicine, College of Medicine

[3] National Formosa University,Department of Information Management

[4] University of California San Diego,Shiley Eye Institute

[5] National Taiwan University Hospital Yunlin Branch,Office of Medical Informatics

[6] University of North Texas Health Science Center,Physiology and Cardiovascular Research Institute

[7] National Taiwan University Hospital,Department of Surgery

[8] National Taiwan University,Department of Surgery, College of Medicine

[9] National Taiwan University Hospital Yunlin Branch,Department of Surgery

来源：

European Journal of Medical Research | / 28卷

关键词：

Extracorporeal membrane oxygenation; Machine learning algorithm; Random forest; Oliguria;

D O I：

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摘要：

引用

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