Prediction of intensive care unit admission (>24h) after surgery in elective noncardiac surgical patients using machine learning algorithms.

导出 LinkOut

翻译打印收藏纠错

作者： Lan,Lan ^[1] ; Fangwei,Chen ^[2] ; Jiawei,Luo ^[3] ; Mengjiao,Li ^[1] ; Xuechao,Hao ^[4] ; Yao,Hu ^[3] ; Jin,Yin ^[1] ; Tao,Zhu ^[3] ; Xiaobo,Zhou ^[1]

作者单位： West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China. ^[1] IT Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. ^[2] Med-X Center for Informatics, Sichuan University, Chengdu, China. ^[3] Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China. ^[4] Department of Anesthesiology, West China Hospital/ West China School of Medicine, Sichuan University, Chengdu, China. ^[5] School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China. ^[6] School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA. ^[7]

关键词 American Society of Anesthesiologists score China Surgical risk machine learning predicting

DOI 10.1177/20552076221110543

PMID 35910815

发布时间 2022-08-02

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Digital health

20552076221110543页

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

Prediction of intensive care unit admission (>24h) after surgery in elective noncardiac surgical patients using machine learning algorithms.

Digital health

相似文献

Digital health

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Prediction of intensive care unit admission (&gt;24h) after surgery in elective noncardiac surgical patients using machine learning algorithms.

Digital health

相似文献

Digital health

相关期刊

检索历史清除

Prediction of intensive care unit admission (>24h) after surgery in elective noncardiac surgical patients using machine learning algorithms.