304 436

Cited 0 times in

랜덤 포리스트를 이용한 비제어 급성 출혈성 쇼크의 흰쥐에서의 생존 예측

 최준열  ;  김성권  ;  구정모  ;  김덕원 
 Journal of Biomedical Engineering Research (의공학회지), Vol.33(3) : 148-154, 2012 
Journal Title
 Journal of Biomedical Engineering Research (의공학회지) 
Issue Date
hemorrhagic shock ; random forest ; logistic regression ; variable selection ; survival prediction
Hemorrhagic shock is a primary cause of deaths resulting from injury in the world. Although many studies have tried to diagnose accurately hemorrhagic shock in the early stage, such attempts were not successful due to compensatory mechanisms of humans. The objective of this study was to construct a survival prediction model of rats in acute hemorrhagic shock using a random forest (RF) model. Heart rate (HR), mean arterial pressure (MAP), respiration rate (RR), lactate concentration (LC), and peripheral perfusion (PP) measured in rats were used as input variables for the RF model and its performance was compared with that of a logistic regression (LR) model. Before constructing the models, we performed 5-fold cross validation for RF variable selection, and forward stepwise variable selection for the LR model to examine which variables were important for the models. For the LR model, sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (ROC-AUC) were 0.83, 0.95, 0.88, and 0.96, respectively. For the RF models, sensitivity, specificity, accuracy, and AUC were 0.97, 0.95, 0.96, and 0.99, respectively. In conclusion, the RF model was superior to the LR model for survival prediction in the rat model.
Files in This Item:
T201203723.pdf Download
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
Yonsei Authors
Koo, Jeong Mo(구정모)
Kim, Deok Won(김덕원)
Kim, Sung Kean(김성권)
Choi, Joon Yul(최준열)
사서에게 알리기


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.