首页|期刊导航|World Journal of Emergency Medicine|Prediction of sepsis within 24 hours at the triage stage in emergency departments using machine learning

Prediction of sepsis within 24 hours at the triage stage in emergency departments using machine learning

Jingyuan Xie Jiandong Gao Mutian Yang Ting Zhang Yecheng Liu Yutong Chen Zetong Liu Qimin Mei Zhimao Li Huadong Zhu Ji Wu

World Journal of Emergency Medicine2024，Vol.15Issue(5)：P.379-385,7.

World Journal of Emergency Medicine2024，Vol.15Issue(5)：P.379-385,7.DOI:10.5847/wjem.j.1920-8642.2024.074

Prediction of sepsis within 24 hours at the triage stage in emergency departments using machine learning

Jingyuan Xie ¹Jiandong Gao ²Mutian Yang ³Ting Zhang ⁴Yecheng Liu ⁵Yutong Chen ¹Zetong Liu ¹Qimin Mei ⁴Zhimao Li ⁴Huadong Zhu ⁴Ji Wu²

作者信息

1. Department of Electronic Engineering,Tsinghua University,Beijing 100084,China
2. Department of Electronic Engineering,Tsinghua University,Beijing 100084,China Center for Big Data and Clinical Research,Institute for Precision Medicine,Tsinghua University,Beijing 100084,China
3. Institute of Medical Technology,Peking University Health Science Center,Beijing 100091,China
4. Emergency Department,State Key Laboratory of Complex Severe and Rare Diseases,Peking Union Medical College Hospital,Chinese Academy of Medical Science and Peking Union Medical College,Beijing 100005,China
5. Emergency Department,State Key Laboratory of Complex Severe and Rare Diseases,Peking Union Medical College Hospital,Chinese Academy of Medical Science and Peking Union Medical College,Beijing 100005,China Department of Health Care,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100005,China
折叠

摘要

关键词

Sepsis/Machine learning/Emergency department/Triage/Informatics

分类

医药卫生

引用本文复制引用

Jingyuan Xie,Jiandong Gao,Mutian Yang,Ting Zhang,Yecheng Liu,Yutong Chen,Zetong Liu,Qimin Mei,Zhimao Li,Huadong Zhu,Ji Wu..Prediction of sepsis within 24 hours at the triage stage in emergency departments using machine learning[J].World Journal of Emergency Medicine,2024,15(5):P.379-385,7.

基金项目

supported by the National Key Research and Development Program of China(2021YFC2500803) （2021YFC2500803）

the CAMS Innovation Fund for Medical Sciences(2021-I2M-1-056). （2021-I2M-1-056）

World Journal of Emergency Medicine

ISSN：1920-8642

访问量0

下载量0

段落导航