• 제목/요약/키워드: diagnosis cluster

검색결과 95건 처리시간 0.031초

호흡기내과 의사를 위한 천식 리뷰 (Asthma Year in Review)

  • 김상하
    • Tuberculosis and Respiratory Diseases
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    • 제69권6호
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    • pp.411-417
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    • 2010
  • This review highlights articles pertaining to the following 5 topics: the relationship between asthma, allergic and non-allergic rhinitis; the novel asthma phenotypes using cluster analysis; the diagnostic properties of inhaled dry-powder mannitol for the diagnosis of asthma; the value of mepolizumab therapy in exacerbations of refractory eosinophilic asthma; the role of bronchial thermoplasty in the treatment of severe asthma.

컴퓨터 바이러스 분류를 위한 퍼지 클러스터 기반 진단시스템 (Fuzzy Cluster Based Diagnosis System for Classifying Computer Viruses)

  • 이현숙
    • 정보처리학회논문지B
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    • 제14B권1호
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    • pp.59-64
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    • 2007
  • 중요한 정보를 저장하고 있는 컴퓨터를 위협하는 바이러스는 점점 현실적인 문제로 대두되고 있다. 이를 위하여 바이러스 침입 발견을 위한 소프트웨어 기술 또한 계속 발전되고 있으나, 현재까지의 표준 기술은 알려진 바이러스의 시그내쳐 패턴을 저장하여 이를 매치 검색하면서 바이러스를 찾아내는 방식을 채택하고 있다. 이는 알려진 바이러스에 대해서는 효과적이지만 새로운 바이러스를 찾아내지 못하고 손실을 당한 후 에야 찾을 수 있는 단점을 가지고 있다. 이를 위하여 바이러스 정보 구축과 탐색에 학습기능을 도입함으로 새로 발생하는 바이러스를 찾아내어 대처할 수 있는 방법이 필요하다. 본 논문에서는 컴퓨터 바이러스를 위한 퍼지 진단 시스템 FDS를 제안한다. FDS에서는 FCM 알고리즘을 사용하여 알려진 정보의 클러스터를 형성하고 대표정보를 추출하고 여기에 전문가의 지식을 포함하는 지식베이스를 구축한다. 진단을 위한 컴퓨터 파일에 대하여 그 파일의 결정 상태를 확인하고 이미 저장된 지식베이스를 바탕으로 바이러스 침입에 대한 정보를 보고하도록 설계되어있다. 이 시스템은 이미 알려진 테스트 데이터와 이전에 알려지지 않은 새로운 테스트 데이터를 실험데이터로 준비하여 널리 알려진 분류 알고리즘-KNN, RF, SVM-과 함께 성능을 비교하였다. 제안된 시스템이 알려지지 않은 컴퓨터 바이러스를 효과적으로 진단할 수 있는 타당성을 보이고 있다.

Tumoral Accumulation of Long-Circulating, Self-Assembled Nanoparticles and Its Visualization by Gamma Scintigraphy

  • Cho, Yong-Woo;Kim, Yoo-Shin;Kim, In-San;Park, Rang-Woon;Oh, Seung-Jun;Moon, Dae-Hyuk;Kim, Sang-Yoon;Kwon, Ick-Chan
    • Macromolecular Research
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    • 제16권1호
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    • pp.15-20
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    • 2008
  • The enhanced permeability and retention (EPR) effect is used extensively for the passive targeting of many macromolecular drugs for tumors. Indeed, the EPR concept has been a gold standard in polymeric anticancer drug delivery systems. This study investigated the tumoral distribution of self-assembled nanoparticles based on the EPR effect using fluorescein and radio-labeled nanoparticles. Self-assembled nanoparticles were prepared from amphiphilic chitosan derivatives, and their tissue distribution was examined in tumor-bearing mice. The size of the nanoparticles was controlled to be 330 run, which is a size suited for opening between the defective endothelial cells in tumors. The long-circulating polymer nanoparticles were allowed to gradually accumulate in the tumors for 11 days. The amount of nanoparticles accumulated in the tumors was remarkably augmented from 3.4%ID/g tissue at 1 day to 25.9%ID/g tissue at 11 days after i.v. administration. The self-assembled nanoparticles were sustained at a high level throughout the 14 day experimental period, indicating their long systemic retention in the blood circulation. The ${\gamma}$-images provided clear evidence of selective tumor localization of the $^{131}I$-labeled nanoparticles. Confocal microscopy revealed the fluorescein-labeled nanoparticles to be preferentially localized in the perivascular regions, suggesting their extravasation to the tumors through the hyperpermeable angiogenic tumor vasculature. This highly selective tumoral accumulation of nanoparticles was attributed to the leakiness of the blood vessels in the tumors and their long residence time in the blood circulation.

Development of Multi-Sensor Convergence Monitoring and Diagnosis Device based on Edge AI for the Modular Main Circuit Breaker of Korean High-Speed Rolling Stock

  • Byeong Ju, Yun;Jhong Il, Kim;Jae Young, Yoon;Jeong Jin, Kang;You Sik, Hong
    • International Journal of Advanced Culture Technology
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    • 제10권4호
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    • pp.569-575
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    • 2022
  • This is a research thesis on the development of a monitoring and diagnosis device that prevents the risk of an accident through monitoring and diagnosis of a modular Main Circuit Breaker (MCB) using Vacuum Interrupter (VI) for Korean high-speed rolling stock. In this paper, a comprehensive MCB monitoring and diagnosis was performed by converging vacuum level diagnosis of interrupter, operating coil monitoring of MCB and environmental temperature/humidity monitoring of modular box. In addition, to develop an algorithm that is expected to have a similar data processing before the actual field test of the MCB monitoring and diagnosis device in 2023, the cluster analysis and factor analysis were performed using the WEKA data mining technique on the big data of Korean railroad transformer, which was previously researched by Tae Hee Evolution with KORAIL.

기술사업화 생태계의 동태성에 대한 전략적 진단 (Strategic Diagnosis on the Dynamics of the Regional Technology Commercialization Ecosystem)

  • 최남희
    • 한국시스템다이내믹스연구
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    • 제17권3호
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    • pp.145-173
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    • 2016
  • This study aims to develop strategic diagnosis framework of performance by identifying and analysing the dynamics of the technology commercialization ecosystem in innovative region. To achieve the purpose of this study, the systems thinking approach is used. The systems thinking approach connects feedback structure and behavior more explicitly to diagnosis vicious feedback loop in the regional technology commercialization ecosystem. In terms of an ecological point of view, it will be possible to explore dominant feedback structure and find leverages to overcome the limitations of regional technology commercialization performance. The diagnosis of reenforcing and balancing feedback structure is based on the statistical analysis of the survey data which has been collected in a cluster random sampling method, targeting on the 200 firm located in the Pangyo and Daeduk region. The results from this research showed that the regional technology commercialization ecosystem was immature and faced limit to the growth. An important finding of this study was that regional technology commercialization ecosystem need to activation of startups and reinforcement of virtuous feedback structures of technology commercialization market systems.

K-means를 이용한 열화 형태의 패턴화에 관한 연구 (A Study on Pattern Making of Degradation Type Using K-means)

  • 이덕진
    • 한국전기전자재료학회논문지
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    • 제27권12호
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    • pp.877-882
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    • 2014
  • It has been confirmed that the inner defect of transformer and the perfect diagnosis for aging are closely related to safe electric power transmission system and that the detection of accident and diagnosis technique turn out to be very important issues. Since electric power machinery consists of various kinds of components, however, it is very difficult to make a diagnosis for aging by one parameter. Thus, diagnosis for aging is feasible only through the combination of various parameters. Recently, various expert systems have been developed and applied to diagnosis for aging, but they are not yet reliable enough to apply to the real system. In this paper, XLPE which is ultra high voltage cable insulator material were chosen to investigate the influence of void on insulator material using partial discharge. Obtained data have been processed by PRPD (phased resolved partial discharge) distribution function and K-means. And statistical and cluster distribution of partial discharge have been analysed and investigated.

신체형 장애(Somatoform disorder)의 개념, 평가, 감별진단 (Concept, Evaluation and Differential Diagnosis of Somatoform Disorder)

  • 김영철
    • 정신신체의학
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    • 제4권2호
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    • pp.254-261
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    • 1996
  • Somatoform disorders are a group of syndromes in which patients focus on and complain of physical symptoms when there is no demonstrable underlying organic pathology or when complaints are in excess of what is expected. The author reviewed concept, sociocultural etiology, differential diagnosis and methods of evaluation of somatoform disorder. The symptoms of Korean culture-specific somatizing cluster, so called Wha-Byung, are discussed.

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초발 정신병 환자에서 기저핵 구조물 부피의 패턴분석 (Pattern Analysis of Volume of Basal Ganglia Structures in Patients with First-Episode Psychosis)

  • 민세리;이태영;곽유빈;권준수
    • 생물정신의학
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    • 제25권2호
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    • pp.38-43
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    • 2018
  • Objectives Dopamine dysregulation has been regarded as one of the core pathologies in patients with schizophrenia. Since dopamine synthesis capacity has found to be inconsistent in patients with schizophrenia, current classification of patients based on clinical symptoms cannot reflect the neurochemical heterogeneity of the disease. Here we performed new subtyping of patients with first-episode psychosis (FEP) through biotype-based cluster analysis. We specifically suggested basal ganglia structural changes as a biotype, which deeply involves in the dopaminergic circuit. Methods Forty FEP and 40 demographically matched healthy participants underwent 3T T1 MRI. Whole brain parcellation was conducted, and volumes of total 6 regions of basal ganglia have been extracted as features for cluster analysis. We used K-means clustering, and external validation was conducted with Positive and Negative Syndrome Scale (PANSS). Results K-means clustering divided 40 FEP subjects into 2 clusters. Cluster 1 (n = 25) showed substantial volume decrease in 4 regions of basal ganglia compared to Cluster 2 (n = 15). Cluster 1 showed higher positive scales of PANSS compared with Cluster 2 (F = 2.333, p = 0.025). Compared to healthy controls, Cluster 1 showed smaller volumes in 4 regions, whereas Cluster 2 showed larger volumes in 3 regions. Conclusions Two subgroups have been found by cluster analysis, which showed a distinct difference in volume patterns of basal ganglia structures and positive symptom severity. The result possibly reflects the neurobiological heterogeneity of schizophrenia. Thus, the current study supports the importance of paradigm shift toward biotype-based diagnosis, instead of phenotype, for future precision psychiatry.

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소양인 소양상풍증으로 진단한 군발두통 환자 치험 1례 (A Case Study of a Patient with Cluster Headache Diagnosed as Soyang-sangpung Symptomatology)

  • 유준상
    • 사상체질의학회지
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    • 제28권4호
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    • pp.396-402
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    • 2016
  • Objectives The symptom of nineteen-year-old male patient who had cluster headache was alleviated using Soyangin's diagnosis and treatment. Methods This patient was diagnosed as Soyangin in terms of QSCC II(Questionnaire of Sasang Constitutional Classification II) and ordinary symptoms and current symptoms. The disease pattern was diagnosed as Soyang-sangpung symptomology. The intensity of headache was assessed by VAS(Visual Analogue Scale). Results and Conclusions The patient's symptom was improved using Hyeongbangsabaek-san, acupuncture treatment and cupping treatment.

PCM 클러스터링을 이용한 X-Ray 영상에서 장폐색 추출 (Extraction of Intestinal Obstruction in X-Ray Images Using PCM)

  • 김광백;우영운
    • 한국정보통신학회논문지
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    • 제24권12호
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    • pp.1618-1624
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    • 2020
  • X-ray를 기반으로 하는 장 폐색 진단 방법은 검사자의 주관적인 요소가 포함되기 때문에 객관적 진단에 영향을 미칠 수 있다. 따라서 본 논문에서는 허프 변환과 PCM 클러스터링 기법을 적용하여 장폐색 영역을 추출하는 방법을 제안한다. 제안된 방법은 X-ray 장폐색 영상에서 ROI 영역을 추출한 후, 허프 변환 기법을 이용하여 ROI 영역에서 직선을 검출하고, 검출된 직선을 이용하여 공기 액체층의 형태학적 특징을 이용하여 대장 폐색을 추출한다. 그리고 추출된 ROI 영역을 PCM 클러스터링을 적용하여 ROI 영역을 양자화 한다. 양자화된 ROI 영역 중에서 대장 폐색의 특징이 포함된 클러스터의 그룹을 선정하고, 선정된 클러스터의 그룹에서 객체를 탐색하여 소장 장폐색 영역을 추출한다. 장폐색 환자의 X-ray 영상 30개를 대상으로 PCM 클러스터링을 적용한 결과, PCM의 초기 클러스터의 수를 4개로 설정한 경우가 장폐색 검출 성능이 우수하였고 TPR은 81.47%로 나타났다.