• Title/Summary/Keyword: 임상특징

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Epidemiology of AIDS (AIDS의 역학)

  • 김정순
    • Korean Journal of Health Education and Promotion
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    • v.5 no.1
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    • pp.6-11
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    • 1988
  • AIDS, 즉 후천성면역결핍증은 인간면역결핍바이러스(Human Immunodeficiency Virus : HIV)라고 불리우는 바이러스에 의한 인간면역체계의 붕괴로 발생하는 질환이다. 1979년 최초로 새로운 임상적특징을 가진 증후군으로 의학학술지에 발표되어 의료계의 주목을 끌어오다가 1981년 봄 로스앤절레스에 있는 남성동성연애자에게 발생한 AIDS의 첫 예가 보고되어 본격적 연구가 시작되었다.

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무과립구중 발병율조사-제4상 임상시험을 위한 기초자료 조사

  • 안윤옥;김병국
    • Proceedings of the Korean Society of Applied Pharmacology
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    • 1992.05a
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    • pp.60-60
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    • 1992
  • 결과: 1. 1986-1989 동안의 년평균 무과립구증 발생율은 인구 100만명당 남자 1.78명, 여자 3.61명이었다. 2. 년령군별, 성별 및 지역별 발생 양상의 특징을 분석하였다. 3. 국제적 비교에서는 우리나라가 낮은 발생지역에 속하였다.

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Fuzzy discretization with spatial distribution of data and Its application to feature selection (데이터의 공간적 분포를 고려한 퍼지 이산화와 특징선택에의 응용)

  • Son, Chang-Sik;Shin, A-Mi;Lee, In-Hee;Park, Hee-Joon;Park, Hyoung-Seob;Kim, Yoon-Nyun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.2
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    • pp.165-172
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    • 2010
  • In clinical data minig, choosing the optimal subset of features is such important, not only to reduce the computational complexity but also to improve the usefulness of the model constructed from the given data. Moreover the threshold values (i.e., cut-off points) of selected features are used in a clinical decision criteria of experts for differential diagnosis of diseases. In this paper, we propose a fuzzy discretization approach, which is evaluated by measuring the degree of separation of redundant attribute values in overlapping region, based on spatial distribution of data with continuous attributes. The weighted average of the redundant attribute values is then used to determine the threshold value for each feature and rough set theory is utilized to select a subset of relevant features from the overall features. To verify the validity of the proposed method, we compared experimental results, which applied to classification problem using 668 patients with a chief complaint of dyspnea, based on three discretization methods (i.e., equal-width, equal-frequency, and entropy-based) and proposed discretization method. From the experimental results, we confirm that the discretization methods with fuzzy partition give better results in two evaluation measures, average classification accuracy and G-mean, than those with hard partition.

Features Reduction and Baysian Networks Learning for Medical Datamining (의료데이터마이닝을 위한 특징축소와 베이지안망 학습)

  • 정용규
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04b
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    • pp.595-597
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    • 2004
  • 본 연구에서는 베이지안망을 기초로 불임환자의 임상 데이터에 대한 다양한 실험을 전개한다. 실험을 통해 임신여부에 영향을 주는 요인들간의 상호 의존성을 분석하고. 또 제약조건이 다른 다양한 베이지안망의 대표적 유형으로 나이브 베이지안망(NBN), 베이지안망으로 확장한 나이브 베이지안망(BAN), 일반 베이지안앙(GBN) 분류기들의 분류성능을 서로 비교 분석한다. 베이지안망을 적응할 때 변수의 수가 많아짐에 따라 베이지안망의 구조를 학습하는데 탐색공간이 넓어져 시간의 요구량이 급격히 많아진다. 따라서 이런 탐색공간을 효율적으로 줄이기 위하여 클래스 노드의 Markov blanket에 속한 특징들로 집합을 축소하는 것을 제안하고, 실험을 통해 이 특징 축소 방법이 베이지안망 분류기들의 성능을 높여 줄 수 있는지 알아본다.

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Estimating the Likelihood of Malignancy in Solitary Pulmonary Nodules by Bayesian Approach (Bayes식 접근법에 의한 고립성 폐결절의 악성도 예측)

  • Shin, Kyeong-Cheol;Chung, Jin-Hong;Lee, Kwan-Ho;Kim, Chang-Ho;Park, Jae-Yong;Jung, Tae-Hoon;Han, Sung-Beom;Jeon, Young-Jun
    • Tuberculosis and Respiratory Diseases
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    • v.47 no.4
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    • pp.498-506
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    • 1999
  • Background : The causes of solitary pulmonary nodule are many, but the main concern is whether the nodule is benign or malignant. Because a solitary pulmonary nodule is the initial manifestation of the majority of lung cancer, accurate clinical and radiologic interpretation is important. Bayes' theorem is a simple method of combining clinical and radiologic findings to estimate the probability that a nodule in an individual patients is malignant. We estimated the probability of malignancy of solitary pulmonary nodules with a specific combination of features by Bayesian approach. Method : One hundred and eighty patients with solitary pulmonary nodules were identified from multi-center analysis. The hospital records of these patients were reviewed and patient age, smoking history, original radiologic findings, and diagnosis of the solitary pulmonary nodules were recorded. The diagnosis of solitary pulmonary nodule was established pathologically in all patients. We used to Bayes' theorem to devise a simple scheme for estimating the likelihood that a solitary pulmonary nodule is malignant based on radiological and clinical characteristics. Results : In patients characteristics, the probability of malignancy increases with advancing age, peaking in patients older than 66 year of age(LR : 3.64), and higher in patients with smoking history more than 46 pack years(LR : 8.38). In radiological features, the likelihood ratios were increased with increasing size of the nodule and nodule with lobulated or spiculated margin. Conclusion : In conclusion, the likelihood ratios of malignancy may improve the accuracy of the probability of malignancy, and can be a guide of management of solitary pulmonary nodule.

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A case of PFAPA (periodic fever, aphthous stomatitis, pharyngitis, cervical adenitis) syndrome (PFAPA 증후군 1례)

  • Chae, Joo Hee;Hwang, A Rum;Park, So Hyun;Suh, Byung Kyu
    • Clinical and Experimental Pediatrics
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    • v.49 no.9
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    • pp.991-995
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    • 2006
  • PFAPA (periodic fever, aphthous stomatitis, pharyngitis, cervical adenitis) syndrome is one of the causes of periodic fever in pediatrics with unknown etiology. It is characterized by abrupt onset of fever, malaise, aphthous stomatitis, pharyngitis and cervical adenitis without long-term sequelae. Laboratory findings of this sporadic and nonhereditary syndrome are so non-specific that the diagnosis is based on clinical findings. Oral prednisolone is quite effective in controlling the symptoms. We report a case of a 6-year-old girl who was diagnosed as having PFAPA syndrome after 2 years of episodes, by excluding other disease entities with similar clinical features. The patient was treated with oral prednisolone and her symptoms improved dramatically.

A Study on Automatic Classification System of Red Blood Cell for Pathological Diagnosis in Blood Digitial Image (혈액영상에서 병리진단을 위한 적혈구 세포의 자동분류에 관한 연구)

  • 김경수;김동현
    • Journal of the Korea Society of Computer and Information
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    • v.4 no.1
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    • pp.47-53
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    • 1999
  • In medical field, the computer has been used in the automatic processing of data derived in hospital. the automation of diagonal devices, and processing of medical digital images. In this paper, we classify red blood cell into 16 class including normal cell to the automation of blood analysis to diagnose disease. First, using UNL Fourier and invariant moment algorithm, we extract features of red blood cell from blood cell image and then construct multi-layer backpropagation neural network to recognize. We proof that the system can give support to blood analyzer through blood sample analysis of 10 patients.

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Osteopoikilosis - Case Report - (골반문증 - 증례 보고 -)

  • Sun, Doo-Hoon;Rhee, Seung-Koo;Lee, Kyung-Jin;Cho, Sung-Gil;Kwon, Soon-Yong
    • The Journal of the Korean bone and joint tumor society
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    • v.15 no.2
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    • pp.160-164
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    • 2009
  • The osteopoikilosis is a rare disorder characterized by multiple radiodensities in the metaphysis or in the epiphysis of long tubular bones. The etiology and pathogenesis remain obscure, generally transmitted as an autosomal dominant fashion. The osteopoikilosis is asympotomatic and it is usually found radiologically as an incidental finding. Our case shows a typical clinical feature of the osteopoikilosis, and the biopsy was done to differentiate other disease from the osteopoikilosis.

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