To predict hemodynamic instability with machine learning in ICU patients with sepsis

Jin Xuting; Li Jiamei; Li Ruohan; Gao Ya; Zhang Jingjing; Ren Jiajia; Zhang Xiaoling; Wang Xiaochuang; Wang Gang

doi:10.3969/j.issn.1002-1949.2023.11.008

Home>Articles>To predict hemodynamic instability with machine learning in ICU patients with sepsis

DOI: 10.3969/j.issn.1002-1949.2023.11.008

To predict hemodynamic instability with machine learning in ICU patients with sepsis

Jin Xuting

Li Jiamei

Li Ruohan

Gao Ya

Zhang Jingjing

Ren Jiajia

Zhang Xiaoling

Wang Xiaochuang

Wang Gang

Keywords：Machine learningSepsisHemodynamic instabilityIntensive care unit(ICU)Extreme gradient boostingLight gradient boosting machineDeep neural network

Publication Date：2023-11-10

Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)

Pages：6( 892-897 )

Chinese Journal of Critical Care Medicine

ISTICCSCD

ISSN：1002-1949

Year, Vol.(Issue)：2023,43(11)