New approach of classifying venous congestion in critically ill patients based on unsupervised machine-learning technique

被引：0
作者：
Wong, Adrian [1 ]
Mallat, Jihad [2 ,3 ]
Fischer, Marc-Olivier [4 ]
机构：
[1] Kings Coll Hosp London, Dept Crit Care, London, England
[2] Cleveland Clin Abu Dhabi, Crit Care Inst, Abu Dhabi, U Arab Emirates
[3] Case Western Reserve Univ, Cleveland Clin, Lerner Coll Med, Cleveland, OH USA
[4] Inst Aquitain Coeur, Elsan, Clin St Augustin, 114 Ave Ares, F-33074 Bordeaux, France
来源：
ANAESTHESIA CRITICAL CARE & PAIN MEDICINE | 2024年 / 43卷 / 03期
关键词：
Venous congestion; Fluid responsiveness; VExUS score; Machine learning; Intensive care;
D O I：
10.1016/j.accpm.2024.101383
中图分类号：
R614 [麻醉学];
学科分类号：
100217 ;
摘要：
引用
收藏
页数：2
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