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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.
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)
박항아 ( Hang A Park ), 강문주 ( Mun Ju Kang ), 차원철 ( Won Chul Cha ), 신태건 ( Tae Gun Shin ), 조익준 ( Ik Joon Jo ), 송근정 ( Keun Jeong Song ), 정연권 ( Yeon Kwon Jeong ), 심민섭 ( Min Seob Sim ) 대한응급의학회 2012 大韓應急醫學會誌 Vol.23 No.5
Purpose: Emergency physicians are usually more experienced in emergency situations; therefore, a cardiopulmonary resuscitation team with an emergency physician as a leader would be operated effectively. The aim of this study is to evaluate the effectiveness of a cardiopulmonary resuscitation that includes an emergency physician. Methods: A retrospective analysis for in-hospital arrests that occurred in the general ward was conducted based on the in-hospital cardiopulmonary resuscitation registry of a tertiary care university hospital in Korea from January 1, 2005 through December 31, 2010. We compared outcomes of cardiopulmonary resuscitation performed by a team that included an emergency physician with those by a cardiopulmonary resuscitation team that included a nonemergency physician. Results: Survival rates at discharge were 29.6% for the emergency physician team and 17.7% for the non-emergency physician team. The good neurologic outcome rates at discharge were 20.6% and 10.6%, respectively. In multivariate analysis with adjustment for pre-arrest patient condition and arrest variables, survival rate did not differ significantly between the two groups. However, the good neuroneurologic outcomes showed an association with the emergency physician team. Conclusion: For in-hospital cardiac arrest, outcomes for patients who were rescued by the emergency physiciandirecting CPR team might be comparable or better, compared with those by the non-emergency physician team.
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.-
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.
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.
황진태 ( Jin Tae Hwang ), 김용환 ( Yong Hwan Kim ), 이준호 ( Jun Ho Lee ), 조광원 ( Kwang Won Cho ), 강문주 ( Mun Ju Kang ), 이동우 ( Dong Woo Lee ), 송윤규 ( Yun Gyu Song ), 김정민 ( Jung Min Kim ), 변정훈 ( Joung Hun Byun ), 황성연 ( Seo) 대한응급의학회 2017 大韓應急醫學會誌 Vol.28 No.5
Purpose: This study was conducted to examine the efficacies of susceptibility weighted images (SWI) for predicting the clinical prognosis of comatose patients following cardiac arrest. Methods: Thirty-two patients who were resuscitated from cardiac arrest and underwent brain magnetic resonance imaging (MRI) were retrospectively investigated and compared to 32 subjects with normal brain MRI findings who served as controls. The SWI readings were divided into three categories: prominent, diminished, and normal. Comatose patients were divided into two groups: those with a Glasgow-Pittsburgh cerebral performance category (CPC) of 1-2 (good outcome group) and those with a CPC of 3-5 (poor outcome group). Results: Of the 32 patients, 17 (53.1%) showed good neurological outcomes upon hospital discharge. Normal patterns on SWI were mainly seen in the good outcome group (15 patients, 88.2%), while diminished patterns and prominent patterns were frequently found in the poor outcome group (13 patients, 88.7%). The combination of diminished pattern and prominent pattern predicted poor outcome with 86.7% sensitivity (95% confidence interval, 69.5%-100%) and 88.2% specificity (95% confidence interval, 72.9%-100%). Conclusion: The SWI findings correlate with the outcome of hypoxic-ischemic encephalopathy and may be a useful adjunct of vegetative state or death in comatose patients after cardiac arrest.
김현준 ( Hyun Joon Kim ), 김용환 ( Yong Hwan Kim ), 이준호 ( Jun Ho Lee ), 황성연 ( Seong Youn Hwang ), 조광원 ( Kwang Won Cho ), 강문주 ( Mun Ju Kang ), 이동우 ( Dong Woo Lee ), 이경렬 ( Kyoung Yul Lee ), 이나경 ( Na Kyoung Lee ) 대한응급의학회 2016 大韓應急醫學會誌 Vol.27 No.5
Purpose: Flumazenil is an effective benzodiazepine antagonist. However, serious adverse effects, including seizures, cardiac arrhythmias, and even death, have been reported in patients treated with flumazenil. These adverse effects are commonly associated with co-ingested tricyclic antidepressants and benzodiazepine withdrawal. Herein, we examined the safety, effectiveness, and risk of using flumazenil to treat suspected benzodiazepine overdose in the emergency department (ED). Methods: This is a retrospective observational study of adult patients administered with flumazenil for a known or suspected benzodiazepine overdose in the ED between July 2010 and January 2016. The outcomes included mental status improvement, incidence of seizures, and intubation rate after flumazenil administration. Results: Seventy-six patients were included in the analysis. Thirty-eight (50%) patients experienced clinically significant mental status improvement. One patient had a seizure (1.3%), despite 17 reported proconvulsant coingestants. No patient required endotracheal intubation, and no patient had arrhythmias after flumazenil administration. Flumazenil was given intravenously bolus in all cases, and the average dose was 0.44mg. There were no significant changes in the vital signs after flumazenil administration. Conclusion: Flumazenil was effective and associated with a low frequency of seizure. However, patients with contraindications may develop seizures. The benefits with respect to risk of adverse effects should be considered carefully in all patients.