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랜덤 포리스트를 이용한 비제어 급성 출혈성 쇼크의 흰쥐에서의 생존 예측

Authors
 최준열 ; 김성권 ; 김덕원 ; 구정모 
Citation
 의공학회지, Vol.33(3) : 148~154, 2012 
Journal Title
 의공학회지 
ISSN
 1229-0807 
Issue Date
2012
Abstract
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.
URI
http://ir.ymlib.yonsei.ac.kr/handle/22282913/92452
DOI
10.9718/JBER.2012.33.3.148
Appears in Collections:
1. 연구논문 > 1. College of Medicine > Dept. of Medical Engineering
Yonsei Authors
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