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출혈성 쇼크를 일으킨 흰쥐에서 선형회귀 분석모델을 이용한 출혈량 추정

Other Titles
 Blood Loss Prediction of Rats in Hemorrhagic Shock Using a Linear Regression Model 
Authors
 이탁형  ;  이주형  ;  최재림  ;  양동인  ;  김덕원 
Citation
 Journal of the Institute of Electronics and Information Engineers of Korea (전자공학회논문지), Vol.47(1) : 56-61, 2010 
Journal Title
 Journal of the Institute of Electronics and Information Engineers of Korea  (전자공학회논문지) 
ISSN
 1229-6392 
Issue Date
2010
Abstract
Hemorrhagic shock is a common cause of death in the emergency department. The purpose of this study was to investigate the relationship between blood loss as a percent of the total estimated blood volume (% blood loss) and changes in several physiological parameters. The other goal was to achieve an accurate prediction of percent blood loss for hemorrhagic shock in rats using a linear regression model. We allocated 60 Sprague-Dawley rats into four groups: 0ml, 2ml, 2.5ml, 3 mL/100 g during 15 min. We analyzed the heart rate, systolic and diastolic blood pressure, respiration rate, and body temperature in relation to the percent blood loss. We generated a linear regression model predicting the percent blood loss using a randomly chosen 360 data set and the R-square value of the model was 0.80. Root mean square error of the tested 360 data set using the linear regression was 5.7%. Even though the linear regression model is not directly applicable to clinical situation, our method of predicting % blood loss could be helpful in determining the necessary fluid volume for resuscitation in the future
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Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
Yonsei Authors
Kim, Deok Won(김덕원)
Yang, Dong In(양동인)
Lee, Ju Hyung(이주형)
Lee, Tak Hyung(이탁형)
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/100494
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