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중증 외상 환자의 입원 결정 지연에 영향을 미치는 요인과 공동진료시스템
강문주 ( Mun Ju Kang ),신태건 ( Tae Gun Shin ),심민섭 ( Min Seob Sim ),조익준 ( Ik Joon Jo ),송형곤 ( Hyoung Gon Song ) 대한외상학회 2010 大韓外傷學會誌 Vol.23 No.2
Purpose: Prolonged stay in the emergency department (ED), which is closely related with the time interval from the ED visit to a decision to admit, might be associated with poor outcomes for trauma patients and with overcrowding of the ED. Therefore, we examined the factors affecting the delay in the decision to admit severe trauma patients. Also, a multidisciplinary department system was preliminarily evaluated to see if it could reduce the time from triage to the admission decision. Methods: A retrospective observational study was conducted at a tertiary care university hospital without a specialized trauma team or specialized trauma surgeons from January 2009 to March 2010. Severe trauma patients with an International Classification of Disease Based Injury Severity Score (ICISS) below 0.9 were included. A multivariable logistic regression analysis was used to find independent variables associated with a delay in the decision for admission which was defined as the time interval between ED arrival and admission decision exceeded 4 hours. We also simulated the time from triage to the decision for admission by a multidisciplinary department system. Results: A total of 89 patients were enrolled. The average time from triage to the admission decision was 5.2 ±7.1 hours and the average length of the ED stay was 9.0±11.5 hours. The rate of decision delay for admission was 31.5%. A multivariable regression analysis revealed that multiple trauma (odds ratio [OR]: 30.6, 95%; confidence interval [CI]: 3.18-294.71), emergency operation (OR: 0.55, 95%; CI: 0.01-0.96), and treatment in the Department of Neurosurgery (OR: 0.07, 95%; CI: 0.01-0.78) were significantly associated with the decision delay. In a simulation based on a multidisciplinary department system, the virtual time from triage to admission decision was 2.1±1.5 hours. Conclusion: In the ED, patients with severe trauma, multiple trauma was a significant factor causing a delay in the admission decision. On the other hand, emergency operation and treatment in Department of Neurosurgery were negatively associated with the delay. The simulated time from triage to the decision for admission by a multidisciplinary department system was 3 hours shorter than the real one. (J Korean Soc Traumatol 2010;23:113-118)
강문주(Kang Mun-ju),김덕은(Kim Duk-eun),양동일(Yang Dong-il),최형진(Choi Hyoung-jin) 한국전자상거래학회 2005 전자상거래학회지 Vol.6 No.3
본 논문에서는 사용자가 질의 이미지의 특정 관심 영역을 설정하면 데이터베이스내에서 기존의 이미지에 대한 칼라 영역 특징 값과 형태에 관한 크기와 회전에 불변한 모멘트 특징값을 저장한 테이블과의 비교로 관심 영역과 유사한 이미지를 검색할 수 있도록 구현하였다. 본 논문에서는 신경망에 기반한 이미지 검색 모델을 제안한다. 이는 SOM 신경망을 이용한 내용 기반 이미지 검색 기법으로 비선형적인 관계를 찾아낼 수 있도록 피드백을 통하여 목표 이미지를 찾아나갈 수 있다. 내용 기반 이미지 검색 시스템을 평가하기 위하여 일반적으로 유사 매칭 방법을 이용하여 시스템 평가에서 사용되는 Precision과 Recall을 사용하였다. In this paper, if the user establish the special region of interest of the questioned image, they embodied to search the similar image and region of interest as the comparison with the table that saved the moment feature value which doesn"t change the size and turn of the color area feature value and form of existing image within the database.<BR> The experiment images used in this are the 300 sheets of images out of MPEG-7 image 2,343 sheets, and Corel Stock Photos 3,500 sheets which are standardized in color and form that are related to the feature of the matter.<BR> To evaluate the suggested content based image search system, we used Precision and Recall that are used in the system evaluation while generally using similar matching method.<BR> As we evaluate totally the result of the content based image system for the search of region of interest using suggested SOM neural network, we can reduce the time and memory to find out the featuring value of image of meaningless part in the general image, and while using neural network, we can get the wanting result more quickly and accurately the form feature of the randomly selected part by the existing user.
칼라 공간과 형태 정보를 이용한 내용기반 이미지 검색 시스템 구현
반종오,강문주,최형진,Ban, Hong-Oh,Kang, Mun-Ju,Choi, Heyung-Jin 한국정보처리학회 2003 정보처리학회논문지B Vol.10 No.6
대량의 일반 이미지 집합에서 사용자가 원하는 이미지를 효율적으로 찾아내는 것이 내용기반 이미지 검색 연구의 주된 목적이나 특정한 분야에 속하지 않은 일반 이미지를 대상으로 하는 연구는 아직까지 만족스럽지 못한 실정이다. 이 논문에서는 이미지의 색상과 형태의 특징 정보들을 추출하여 자동으로 색인하고 검색하는 시스템을 제안하였다. 특징 추출은 인간의 이미지 인식 과정에 기반하여 전체적인 정보와 세부적인 정보로 구분하여 수행하였다. 추출된 특징 정보들은 전역 칼라, 부분 영역 칼라, 전역 형태, 부분 영역 형태 정보로 구분하였다. 실험 결과 제안한 방법은 기존의 방법과 비슷한 시간 내에 비교적 높은 Precision과 Retail로 이미지를 검색함을 알 수 있었다. In recent years automatic image indexing and retrieval have been increasingly studied. However, content-based retrieval techniques for general images are still inadequate for many purposes. The novelty and originality of this thesis are the definition and use of a spatial information model as a contribution to the accuracy and efficiency of image search. In addition, the model is applied to represent color and shape image contents as a vector using the method of image features extraction, which was inspired by the previous work on the study of human visual perception. The indexing scheme using the color, shape and spatial model shows the potential of being applied with the well-developed algorithms of features extraction and image search, like ranking operations. To conclude, user can retrieved more similar images with high precision and fast speed using the proposed system.
응급실내 급성 중독 환자들의 예후 예측에 대한 혈액 젖산 수치의 유용성
김혜란 ( Hye Ran Kim ),강문주 ( Mun Ju Kang ),김용환 ( Yong Hwan Kim ),이준호 ( Jun Ho Lee ),조광원 ( Kwang Won Cho ),황성연 ( Seong Youn Hwang ),이동우 ( Dong Woo Lee ) 대한임상독성학회 2016 대한임상독성학회지 Vol.14 No.1
Purpose: Patients suffering from acute poisoning by different substances often visit the emergency department (ED) and receive various prognoses according to the toxic material and patients`` condition. Hyperlactatemia, which is an increased blood lactate level that generally indicates tissue hypoperfusion, is commonly utilized as a prognostic marker in critically ill patients such as those with sepsis. This study was conducted to investigate the relationships between blood lactate and clinical prognosis in acute poisoned patients. Methods: This retrospective study was conducted from January 2013 to June 2014 at a single and regional-tertiary ED. We enrolled study patients who were examined for blood test with lactate among acute intoxicated patients. The toxic materials, patient demographics, laboratory data, and mortalities were also reviewed. Additionally, we analyzed variables including blood lactate to verify the correlation with patient mortality. Results: A total of 531 patients were enrolled, including 24 (4.5%) non-survivors. Patient age, Glasgow coma scale (GCS), serum creatinine (Cr), aspartate transaminase (AST), and serum lactate differed significantly between survivors and non-survivors in the binary logistic regression analysis. Among these variables, GCS, AST, and lactate differed significantly. The median serum lactate levels were 2.0 mmol/L among survivors and 6.9 mmol/L among non-survivors. The AUC with the ROC curve and odds ratio of the initial serum lactate were 0.881 and 3.06 (0.89- 8.64), respectively. Conclusion: Serum lactate was correlated with fatalities of acute poisoning patients in the ED; therefore, it may be used as a clinical predictor to anticipate their prognoses.
국내외 학술지 발표논문 : 난자 세포질 내 정자 주입술시 부고환 및 고환 정자의 체외수정능력에 관한 비교 연구
성기청 ( Seong Gi Cheong ),강문주 ( Kang Mun Ju ),김희선 ( Kim Hui Seon ),오선경 ( O Seon Gyeong ),구승엽 ( Gu Seung Yeob ),서창석 ( Seo Chang Seog ),김석현 ( Kim Seog Hyeon ),최영민 ( Choe Yeong Min ),김정구 ( Kim Jeong Gu ),문 서울대학교 인구의학연구소 2003 人口醫學硏究論集 Vol.16 No.-
칼라 공간과 형태 정보를 이용한 내용기반 이미지 검색 시스템의 설계 및 구현
반종오(Jong-Oh Ban),강문주(Mun-Ju Kang),최형진(Hyung-Jin Choi) 한국정보과학회 2002 한국정보과학회 학술발표논문집 Vol.29 No.1B
최근 디지털 이미지 사용이 급속도로 증가함에 있어 자동적인 이미지 데이터 색인과 검색에 관한 연구가 증가하고 있는 추세이나 특정한 분야에 속하지 않은 일반 이미지를 대상으로 하는 연구는 아직까지 만족스럽지 못한 실정이다. 내용기반 이미지 검색은 대량의 일반 이미지 집합에서 사용자가 원하는 이미지를 효율적으로 찾아내는 시스템이며 이에 본 논문에서는 이미지의 색상과 형태의 특징 정보들을 추출하여 자동으로 색인하고 검색하는 새로운 시스템을 제안하였다. 특징 추출은 인간의 이미지 인식 과정에 기반하여 전체적인 정보와 세부적인 정보로 구분하여 수행하는 새로운 기법을 사용하였고 추출된 특징 정보들은 전역 칼라, 부분 영역 칼라, 전역 형태, 부분 영역 형태 정보로 구분되어 데이터베이스에 저장하였으며 유사도 검색 시에는 사용자가 검색 목적에 알맞은 가중치를 적용하여 이미지를 검색하도록 하였다.
이미지 검색을 위한 관심영역의 요소추출과 데이터 변환 연구
강문주,양동일,김덕은,최형진 강원대학교 정보통신연구소 2006 정보통신논문지 Vol.10 No.-
In this paper we designed the content-based image system. It discovers the characteristic value of color area for the existing image, when any user establishes the special interesting region for the question images. And we designed the system to be able to search the similar image of the interesting region, compared with the table that saved the characteristic value of moment which is unchangeable for the size and the rotation of form. In this paper, we suggest the image search model based on neural network. This is able to seek for the aimed image through the feedback to search the nonlinear relations by the method of searching content-based image using SOM neural network. We make use of the Precision and the Recall that are used for the system evaluation using the similar matching method in general. As a result of the evaluation of the content-based image system, we can reduce the time and memory to find out the feature value of the image that is meaningless in the general images.
이미지 검색을 위한 관심영역의 오소추출과 데이터 변환 연구
강문주,양동일,김덕은,최형진 강원대학교 정보통신연구소 2006 정보통신논문지 Vol.10 No.-
In this paper we designed the content-based image system. It discovers the characteristic value of color area for the existing image, when any user establishes the special interesting region for the question images. And we designed the system to be able to search the similar image of the interesting region, compared with the table that saved the characteristic value of moment which is unchangeable for the size and the rotation of from. In this paper, we suggest th image search model based on neural network. This is able to seek for the aimed image through the feedback to search the nonlinear relations by th method of searching content-based image using SOM neural network. We make use of the Precision and the recall that are used for the system evaluation using the similar matching method in general. As a result of the evaluation of the content-based image system, we can reduce the time and memory to find out the feature value of the image that is meaningless in the general images.