https://scholars.lib.ntu.edu.tw/handle/123456789/636221
標題: | Urine output as one of the most important features in differentiating in-hospital death among patients receiving extracorporeal membrane oxygenation: a random forest approach | 作者: | SHENG-NAN CHANG Hu, Nian-Ze Wu, Jo-Hsuan Cheng, Hsun-Mao Caffrey, James L HSI-YU YU YIH-SHARNG CHEN Hsu, Jiun JOU-WEI LIN |
關鍵字: | Extracorporeal membrane oxygenation; Machine learning algorithm; Oliguria; Random forest | 公開日期: | 15-九月-2023 | 卷: | 28 | 期: | 1 | 起(迄)頁: | 347 | 來源出版物: | European journal of medical research | 摘要: | It is common to support cardiovascular function in critically ill patients with extracorporeal membrane oxygenation (ECMO). The purpose of this study was to identify patients receiving ECMO with a considerable risk of dying in hospital using machine learning algorithms. |
URI: | https://pubmed.ncbi.nlm.nih.gov/37715216/ https://scholars.lib.ntu.edu.tw/handle/123456789/636221 |
ISSN: | 09492321 | DOI: | 10.1186/s40001-023-01294-1 |
顯示於: | 醫學系 |
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