[Visualization analysis of predictive model of acute kidney injury in patients with sepsis by online dynamic nomogram: research on development and validation of application].
列线图
可视化
急性肾损伤
败血症
医学
计算机科学
重症监护医学
数据科学
数据挖掘
内科学
作者
Jing Li,Ruibin Meng,Luheng Guo,Linlin Gu,Cuiping Hao,Meng Shi
To explore the risk factors of septic acute kidney injury (sAKI) in patients with sepsis, construct a predictive model for sAKI, verify the predictive value of the model, and develop a dynamic nomogram to help clinical doctors identify patients with high-risk sAKI earlier and more easily.