首页|期刊导航|世界急诊医学杂志(英文)|Early identification of high-risk patients admitted to emergency departments using vital signs and machine learning
Early identification of high-risk patients admitted to emergency departments using vital signs and machine learning
Qingyuan Liu Shusheng Zhou Mengping Zhang Yinglei Lai Kui Jin Yixin Zhang Jian Sun Kaipeng Wang Yueguo Wang Yulan Wang Cailing Ren Yan Wang Jiashan Zhu
世界急诊医学杂志(英文)2025,Vol.16Issue(2):113-120,8.
世界急诊医学杂志(英文)2025,Vol.16Issue(2):113-120,8.DOI:10.5847/wjem.j.1920-8642.2025.031
Early identification of high-risk patients admitted to emergency departments using vital signs and machine learning
Early identification of high-risk patients admitted to emergency departments using vital signs and machine learning
摘要
关键词
Machine learning/Triage/Emergency medicine/Decision support systemsKey words
Machine learning/Triage/Emergency medicine/Decision support systems引用本文复制引用
Qingyuan Liu,Shusheng Zhou,Mengping Zhang,Yinglei Lai,Kui Jin,Yixin Zhang,Jian Sun,Kaipeng Wang,Yueguo Wang,Yulan Wang,Cailing Ren,Yan Wang,Jiashan Zhu..Early identification of high-risk patients admitted to emergency departments using vital signs and machine learning[J].世界急诊医学杂志(英文),2025,16(2):113-120,8.基金项目
Applicable Funding Source University of Science and Technology of China(to YLL) (to YLL)
National Natural Science Foundation of China(12126604)(to MPZ) (12126604)
R&D project of Pazhou Lab(Huangpu)(2023K0609)(to MPZ) (Huangpu)
Anhui Provincial Natural Science Foundation Project(grant number 2208085MH235)(to KJ). (grant number 2208085MH235)