http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
심정지 이후에 발생하는 간 기능 장애의 양상과 이에 영향을 주는 요소
박해상,황성오,김현,최한주,안희철,이서영,장용수,이강현 대한응급의학회 2002 대한응급의학회지 Vol.13 No.4
Purpose: Little is known about the clinical courses or outcomes of abnormalities of liver function in patients resuscitated after cardiac arrest. We conducted this study to investigate the clinical features and courses of abnormalities of live function during the post-resuscitation period. Methods: Twenty-five patients (18 males, mean age: 43 years), who had survived cardiac arrest, were enrolled in this study. Blood samples for the liver function test were obtained immediately and at 1, 2, 4, 7, 10, and 14 days after return of spontaneous circulation. Clinical characteristics, variables associated with cardiac arrest, data during resuscitation, and clinical course during the post-resuscitation period were obtained from our cardiac arrest database. Results: Seventeen patients (68%) had abnormalities of live function. Those abnormalities included, in order of frequency, increases in aspartate aminotransferase (AST), alanine aminotransferase (ALT), gamma-glutamyl transferase (γ-GT), or total bilirubin in blood, and a decrease in serum albumin. the highest values of AST, ALT, γ-GT, and total bilirubin were observed on the second day of postresuscitation period. The abnormalities were normalized in all patients within two weeks after the cardiac arrest. There was not deaths from hepatic failure. There was no difference in downtime, CPR time, number of defibrillations, dose of administered epinephrine, blood pressure, or heart rate after return of spontaneous circulation between the patients with normal liver function and the patients with abnormal liver function (increase of AST or ALT > 50 U/L.) Multiple logistic regression analysis revealed that the duration of cardiac arrest was associated with the elevation of liver enzymes. Conclusion: Hepatic dysfunction after cardiac arrest is a transient, benign phenomenon. Development of hepatic dysfunction was associated with the duration of cardiac arrest.
박해상,Park, Hae-Sang 한국작물보호협회 2010 자연과 농업 Vol.260 No.-
요즘 농업의 어려움은 주식시장에서 흔히 쓰는 "바닥 다지기"라고 표현하고 싶다. 이 바닥만 튼튼히 잘 다져 놓으면 미래농업은 우뚝 설 수 있으리 라고 본다. 미래농업은 농식품산업과 생명산업(BT), 두 축을 중심으로 괄목할 만한 성장을 할 것이다.
혼합모델 및 다중 가설 검정을 이용한 신호와 잡음의 분류
박해상,유시원,전치혁,Park, Hae-Sang,Yoo, Si-Won,Jun, Chi-Hyuck 한국통계학회 2009 응용통계연구 Vol.22 No.4
본 논문은 신호와 잡음이 혼합된 관측치로부터 신호 관측치를 분류하는 문제를 다룬다. 잡음은 가우시안 분포를 따르고 신호는 감마 분포를 따른다고 가정할 때 관측치의 분포는 가우시안과 감마의 혼합 분포를 따르게 된다. EM 알고리즘을 통해 혼합 모델의 모수를 추정하고 신호 및 잡음을 분류하는 것을 다중 가설 검정으로 간주하여 베이즈 오류를 바탕으로 분류를 위한 경계치를 설정한다. 제안하는 방법을 분광 데이터에 근거하여 철강 제품에서 개재물 유무를 검출하는 문제에 적용하였고 별도의 시뮬레이션 데이터를 통해 성능의 우수성을 보였다. A problem of separating signals from noises is considered, when they are randomly mixed in the observation. It is assumed that the noise follows a Gaussian distribution and the signal follows a Gamma distribution, thus the underlying distribution of an observation will be a mixture of Gaussian and Gamma distributions. The parameters of the mixture model will be estimated from the EM algorithm. Then the signals and noises will be classified by a fixed threshold approach based on multiple testing using positive false discovery rate and Bayes error. The proposed method is applied to a real optical emission spectroscopy data for the quantitative analysis of inclusions. A simulation is carried out to compare the performance with the existing method using 3 sigma rule.
Positive false discovery rate를 활용한 새로운 군집 분석
박해상(Hae-sang Park),전치혁(Chi-Hyuck Jun) 한국경영과학회 2010 한국경영과학회 학술대회논문집 Vol.2010 No.6
Clustering analysis is an unsupervised learning technique for partitioning objects into several clusters so that objects within a cluster have similarity in comparison to one another, but are dissimilar to objects in other clusters. Traditional clustering methods assign all objects into one of the clusters, but in this paper, we assume that noise data are present which do not belongs to any clusters. Assuming the data follows a mixture of Gaussian distributions, the parameters of the mixture model are estimated from the EM algorithm. We calculate the p-value through Monte Carlo method using the estimated probability density function and estimate positive false discovery rate (pFDR). By the proposed procedure, the objects are clustered and classified into data or noise simultaneously according to the specified pFDR. We apply the proposed method to real data and simulation data, which shows that it performs reasonably by controlling the false discovery rate.
Positive false discovery rate를 활용한 새로운 군집 분석
박해상(Hae-sang Park),전치혁(Chi-Hyuck Jun) 대한산업공학회 2010 대한산업공학회 춘계학술대회논문집 Vol.2010 No.6
Clustering analysis is an unsupervised learning technique for partitioning objects into several clusters so that objects within a cluster have similarity in comparison to one another, but are dissimilar to objects in other clusters. Traditional clustering methods assign all objects into one of the clusters, but in this paper, we assume that noise data are present which do not belongs to any clusters. Assuming the data follows a mixture of Gaussian distributions, the parameters of the mixture model are estimated from the EM algorithm. We calculate the p-value through Monte Carlo method using the estimated probability density function and estimate positive false discovery rate (pFDR). By the proposed procedure, the objects are clustered and classified into data or noise simultaneously according to the specified pFDR. We apply the proposed method to real data and simulation data, which shows that it performs reasonably by controlling the false discovery rate.
심폐소생술 중 하행 대동맥 내 압력 차이 발생의 혈역학적 의의
황성오,박해상,이서영,안희철,김현,이강현,유병수,이승환,윤정한,최경훈 대한응급의학회 2002 대한응급의학회지 Vol.13 No.3
Purpose: There have been no reports concerning the role of the aorta in explaining why blood flow is low below the diaphragm and a pressure gradient is present between central and peripheral arteries during standard cardiopul-money resuscitation (CPR). The aim of this study was to assess the morphologic changes of the descending thoracic aorta and its effect on aortic pressure during precordial chest compression in cardiac arrest victims. Methods: Twelve patients with non-traumatic cardiac arrest (8 males, mean age: 58 years) were enrolled. Transesophageal echocardiography was performed to verify the morphologic changes of the descending thoracic aorta during standard manual CPR. The pressure gradient across the maximally compressed site of the aorta was measured by pullback tracing using a pigtail catheter. Results: Focal compression and deformation of the descending thoracic aorta was uniformly observed in all patients during compression systole. The mean systolic blood pressure of the descending thoracic aorta proximal and distal to the maximally compressed site was 135±36 mmHg and 115±21 mmHg, respectively. The mean systolic pressure gradient across the maximally compressed site was 20.5±17.7 mmHg. During compression systole, the pressure gradient between the right atrium and the descending thoracic aorta proximal to the maximally compressed site during compression systole was 49±12 mmHg while pressure gradient between the right atrium and the descending thoracic aorta distal to the maximally compressed site was 29±8 mmHg. Conclusion: We found that the descending thoracic aorta was focally compressed and that a pressure gradient developed across the maximally compressed site during compression systole. This may contribute to limiting blood flow to the subdiaphragmatic region during standard manual CPR in humans.