지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
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Hemorrhagic shock is a common cause of death in emergency rooms. Early diagnosis of hemorrhagic shock makes it possible for physicians to treat patients successfully. Therefore, the purpose of this study was to select an optimal survival prediction model using physiological parameters for the two analyzed periods: two and five minutes before and after the bleeding end. We obtained heart rates, mean arterial pressures, respiration rates and temperatures from 45 rats. These physiological parameters were used for the training and testing data sets of survival prediction models using an artificial neural network (ANN) and support vector machine (SVM). We applied a 5-fold cross validation method to avoid over-fitting and to select the optimal survival prediction model. In conclusion, SVM model showed slightly better accuracy than ANN model for survival prediction during the entire analysis period.
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참고문헌 (16)
참고문헌 신청
A. Takasu / 2006 / Effect of induction rate for mild hypothermia on survival time during uncontrolled hemorrhagic shock in rats / J Trauma 61 (6) : 1330 ~ 1335
C.B. Ahn / 1995 / Automatic EEG and artifact classification using neural network / J of KOSOMBE 16 (2) : 157 ~ 166
C.J. Murray / 1997 / Alternative projections of mortality and disability by cause 1990-2020: global burden of disease study / Lancet 349 (9064) : 1498 ~ 1504
I.A. Basheer / 2000 / Artificial neural networks: fundamentals, computing, design, and application / J Microbiol Methods 43 (1) : 3 ~ 31
J. Heaton / 2008 / Introduction to neural networks for JAVA, Second Edition / Heaton Research : 158 ~ 159
C.B. Ahn / 1995 / Automatic EEG and artifact classification using neural network / J of KOSOMBE 16 (2) : 157 ~ 166
C.J. Murray / 1997 / Alternative projections of mortality and disability by cause 1990-2020: global burden of disease study / Lancet 349 (9064) : 1498 ~ 1504
I.A. Basheer / 2000 / Artificial neural networks: fundamentals, computing, design, and application / J Microbiol Methods 43 (1) : 3 ~ 31
J. Heaton / 2008 / Introduction to neural networks for JAVA, Second Edition / Heaton Research : 158 ~ 159
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