• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.671-674
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• 2014

최근 MicroRNA(miRNA)가 질병 발생과 밀접한 연관성이 있다고 밝혀진 이래, 이와 관련된 연구가 활발히 진행되고 있다. 하지만 각종 질병 관련 miRNA의 기능과 역할 그리고 질병 발생 메카니즘 등이 명백히 밝혀진 것이 없는 실정이다. 본 논문에서는 여러 종류의 miRNA 데이터베이스(miRecords, miRTarBase, miR2Disease 등)를 통합하고, 본 논문에서 새로이 제안하는 scoring 방법과 특정 질병과 관련된 miRNA의 순위결정과정을 통하여 질병과 연관성이 높은 miRNA을 밝혀내는 방법을 제안한다. 새로이 제안하는 방법을 바탕으로 miRNA와 특정 질병과의 연관성을 효과적으로 밝혀냈다.

• Korean Journal of Poultry Science
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• v.16 no.3
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• pp.175-192
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• 1989

A total of 9, 012 cases was submitted for diagnosis of chicken diseases to Veterinary Research Institute, Rural Development Administration from domestic chicken farms during 18 years from 1971 to 1988. Of them, 6, 181 cases diagnosed as the infectious disease were investigated for the detection rate of infections on basis of you, season , and chicken age. The results obtained were summarized as followings：1. Detection rate or the infections was lowest as 49.3% in the year 1973, and highest as 78.6% in 1985 (average 68.6%). 2. Of infections detected, bacterial diseases were most frequent (32.6%), and followed in order by viral (26.3%), parasitic (7.7%), and fungal diseases (2.1%) in geneal. 3. The most frequently detected bacterial diseases in order of prevalence were mycoplasmosis (8.8%), colibacillosis (8.5%), and staphylococcosis (5.8%), and followed by salmonellosis pullorum disease , yolk sac disease, and salpingitis (0.8-1.5%). 4. In viral diseases, 7.5% of infections detected was lymphoid leukosis and 7.2%-Marek's disease, 4.4%-Newcastle disease, 2.0%-infectious laryngotracheitis, 1.7%-infectious bursal disease, and 1.0%-avian encephalomyelitis, while detection rate of infectious bronchitis, egg drop syndrome '76, and inclusion body hepatitis was less than 1.0%, respectively. 5. The most prevalent parasitic disease was coccidiosis (4.5%), followed by ascariasis (1.4%). The detection rate of other parasitic diseases including leucocytozoonosis, black head , heterakiasis, and ectoparasitosis was very as 0.2-0.7%, respectively： In fungal diseases, 2.0% of infections was detected as aspergillosis, and followed by candidiasis (0.1%). 6. Detection rate of the infections on basis of season was somewhat higher in summer. (27.7%), and autumn (27.7%) than in winter (23.5%), and spring (21.5%) in general. In bacterial, viral, and fungal diseases, there were the similar tendencies of detection rate as in infections, while parasitic diseases were much highly detected in summer (34.3%), and autumn (39.5%) than in any other season. 7. Among bacterial diseases colibacillosis was most frequently detected in summer, and staphylococcosis in autumn. In detection rate of viral diseases, Marek's disease, infectious laryngotracheitis, and infectious bursal disease was highest in summer, lymphold leukosis, fowl pox and egg drop syndrome '76 in autumn, and infectious trachitis in winter, repectively. The majority of important parasitic diseases including coccidiosis were highly detected in summer and autumn. 8. On basis of chicken age, detection rate of infections were highest in chicken of growing period between 30 and 150 days of age (41.4%), and followed by 35.3% in laying chicken over 150 days of age, and 17.3% in chicken of brooding age under 30 days of age. Bacterial, and parasitic diseases were most frequently detected in chicken of growing period, viral diseases in chicken of growing, and laying period as nearly equal rate of detection, and fungal diseases in chicken of brooding age.

• Korean Journal of Veterinary Service
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• v.44 no.1
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• pp.45-49
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• 2021

A 23-month-old Holstein cattle showed excess salivation and reluctance of walking and suddenly died after forced sudden movements. Grossly, numerous fibrous adhesions were present within cranial abdominal cavity including the reticulum and diaphragm and thoracic cavity involving lungs, pericardial sac, and heart. A perforation made by a 10 cm-long sharp-ended wire was detected in the reticulum. Histopathologically, fibrous suppurative epicarditis and myocardial necrosis were observed. Fibrosis with neovascularization were found in lungs, spleen, and liver. And granulomatous reticulitis was observed. For differential diagnosis, no pathogenic bacteria were detected through microbiological tests and PCR results were also negative for bovine susceptible pathogenic antigens. Based on the gross and histopathological examination, we diagnosed this case as chronic traumatic pericarditis. Cattle are inquisitive and prone to swallow various kinds of metallic foreign bodies since they do not use their lips. Therefore, avoiding ingestion of metallic objects in animal feed and animal areas by careful environmental management of farms is required and farmers should give the adequate minerals and vitamins into the feeds not to lick or shallow foreign bodies in case of mineral deficiency. For veterinary practitioners, physical examination, blood tests, and diagnostic imaging (X-ray and Ultrasonography) are required for an exact diagnosis. Furthermore, placing the magnets in rumen would be effective for prophylactic administrations.

• Journal of the Korean Society of Radiology
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• v.79 no.5
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• pp.276-281
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• 2018

Immunoglobulin G4 (IgG4)-related lung disease has been actively studied over the past few years. Radiologic findings of IgG4-related lung disease vary among patients, but there are no long-term follow up studies regarding variations in imaging features over the course of disease progression. In two cases with relatively long-term follow up, diverse early and late computed tomography (CT) findings of IgG4-related lung disease are reviewed in this report. In contrast to nodular or diffuse ground-glass opacity, which was predominantly noted in CT scans at earlier stages of disease, honeycombing and traction bronchiectasis were regarded as late radiologic manifestations. Solid nodules might be visible in both early and late stages; however, development of new solid nodules and enlargement of preexisting nodules could occur during disease progression. Interlobular septal thickening and mediastinal/hilar lymphadenopathy were persistent, even in later stages of the disease. These findings might be useful in making an accurate and timely diagnosis of IgG4-related lung disease.

• Journal of Intelligence and Information Systems
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• v.13 no.1
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• pp.81-90
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• 2007

This paper shows an intelligent disease diagnosis system for public. Our system deals with 30 diseases and their typical symptoms selected based on the report from Ministry of Health and Welfare, Korea. Technically, the system uses a modified FCM algorithm for clustering diseases and the input vector consists of the result of user-selected questionnaires. The modified FCM algorithm improves the quality of clusters by applying symmetrically measure based on the fuzzy theory so that the clusters are relatively sensitive to the shape of the pattern distribution. Furthermore, we extract the highest 5 diseases only related to the user-selected questionnaires based on the fuzzy membership function between questionnaires and diseases in order to avoid diagnosing unrelated disease.

• Journal of Broadcast Engineering
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• v.27 no.6
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• pp.923-935
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• 2022

This paper deals with detection and classification of leaf diseases for phenomics systems. As the smart farm systems of plants are increased, It is important to determine quickly the abnormal growth of plants without supervisors. This paper considers the color distribution and shape information of leaf diseases, and designs two deep leaning networks in training the leaf diseases. In the first step, color distribution of input image is analyzed for possible diseases. In the second step, the image is first partitioned into small segments using mean shift clustering, and the color information of each segment is inspected by the proposed Color Network. When a segment is determined as disease, the shape parameters of the segment are extracted and inspected by proposed Shape Network to classify the leaf disease types in the third step. According to the experiments with two types of diseases (frogeye/rust and tipburn) for apple leaves and iceberg, the leaf diseases are detected with 92.3% recall for a segment and with 99.3% recall for an input image where there are usually more than two disease segments. The proposed method is useful for detecting leaf diseases quickly in the smart farm environment, and is extendible to various types of new plants and leaf diseases without additional learning.

• Journal of fish pathology
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• v.23 no.1
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• pp.131-135
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• 2010

Unidentified viral disease with high mortalities has been recorded consistently since 1998 in cultured carp Cyprinus carpio in Korea. In the present study, we investigated the histopathological characteristics of the diseased carp to evaluate the relatedness to koi herpesvirus disease (KHVD). Histopathogical examination revealed severe necrotic changes and vacuous cells in the kidney, spleen, liver, pancreas, heart and intestine, but eosinophilic intranuclear inclusion, a typical characteristic of KHV infection was not detected. These results suggest that KHVD may be not a cause for the high mortality occurring among cultured carp in Korea and possibly other unknown viral disease could are related.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1337-1342
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• 2019

Medical institutions face the challenge of securing competitiveness among medical institutions due to the rapid spread of ICT convergence, and managing data that is growing at an enormous rate due to the emergence of big data and the emergence of the Internet of Things. The big data paradigm of the medical community is not just about large data or tools and processes for processing and analyzing it, but also means a computerized shift in the way people live, think and study. As the medical data is recently released, the demand for the use of medical data is increasing. Therefore, the research on disease detection system based on public data using open source that can help rational and efficient decision making was conducted. As a result of the experiment, unlike a simple disease inquiry or a symptom inquiry about a single disease provided by a public institution, related diseases are searched by a symptom or a cause.

• Journal of the Korea Society of Computer and Information
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• v.14 no.9
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• pp.75-84
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• 2009

In this paper, the EPC Network as the most important technologies in the field of applied technology research and special attention to the use of RFID to better manage the disease in infected U-MAS (U-Medical Administrative Services) system was designed. U-MAS system, the Center for Disease Control in the illness, depending on the type of isolate and treat infected patients, recovery, discharge, isolation wards and intensive italian to manage and increase efficiency, manual and use a simple computer program improve the qualify of the current level, using RFID tags to improve the management of the patient everything that a little more and be out of the isolation ward, if competent disease management districts, such as the location to respond more quickly to facilitate the purpose is to contribute to. First, EPC Network and related technology for mobile RFID systems and related technology research. U-MAS system design offers. If you take advantage of the proposed U-MAS system for monitoring infectious disease patients and patients in the isolation ward, when the unauthorized departure location to shorten the time it takes to improve the effectiveness of disease management and present the elected effects was.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.417-418
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• 2014

본 논문에서는 무선 바이오센서 기반에서 동물 생체측정 정보를 이용한 질병 예방 감시 시스템을 설계하였다. 제안 시스템은 바이오센서를 이용하여 동물의 심박, 호흡수, 운동량을 측정할 수 있는 모듈을 개발하고 생체 신호를 계측하여 신호 처리된 정보를 Zigbee 무선 통신모듈을 이용하여 원격 데이터베이스에 전송하도록 설계하였다. 모니터링 시스템에서는 수집된 생체 정보의 연속적인 변화를 통하여 가축의 이상여부를 판단하고 질병 발생여부를 조기에 발견할 수 있게 가축의 상태정보를 제공한다. 본 연구결과는 향후 축산 농가의 질병 감시를 통하여 질병의 확산을 차단할 수 있는 긴급대처시스템을 구축하는데 활용 될 것이다.