• Korean Journal of Oriental Medicine
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• v.5 no.1
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• pp.81-100
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• 1999

The result from the research on the disease classifications of the traditional medicine in China, Japan, Taiwan, and North Korea are followings: 1. It is remarkable that China has two different classifications. One is of the diseases named by western medicine and the other is of the syndromes compounded with parts, characters, and pathology of the diseases. The Traditional Chinese Medicine has 615 codes for diseases in 7 departments, and 1684 codes for syndromes. It seems that they have tried to match each disease named by the traditional chinese medicine to each one named by western medicine. But, they have left the diseases impossible to be equivalent to the ones in western medicine themselves and used the same codes of western medicine when the diseases are the same ones in western medicine. 2. In Taiwan, they try to connect the diseases named by the traditional medicine to the ones named by western medicine based on ICD-9. But, they did not attempt to classify the diseases of the traditional medicine by its own ways. The names of diseases in Taiwan medicine include both diseases and syndromes. It is limited to name syndromes by the traditional medicine. And, Taiwan medicine follows ICD in naming injuries. 3. Japan has not got the disease classification for the causes of death, but only the Japanese disease classification for the causes of death, a translation 'The international disease classification for the causes of death. Therefore, The diseases named by traditional medicines are excluded in the public medicine by some Japanese medicines which diagnose through the western medicine and treat by Wa Kang medicine. 4. I can't find out the data over the disease classification for the causes of death by traditional medicine in North Korea. Instead, I can refer to case histories in which differentiation of symptoms and signs and points about them by traditional medicine and the final diagnoses and report about examination by the western medicine has been recorded. In conclusion, It is a distinctive feature that they connect the diseases and the syndromes by the traditional medicine to the ones by the western medicine, and don't tell the diseases from the syndromes.

• The Journal of Korean Medicine
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• v.31 no.5
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• pp.82-89
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• 2010

Objectives: The aim of this study was to determine distribution patterns of TOAST subtypes of ischemic stroke patients admitted to oriental hospitals and to get a better understanding of present conditions in oriental medicine by comparing with the Korea stroke registry (KSR), the largest and representative data. Methods: Clinical data were collected from acute ischemic stoke patients. MRI studies including vascular images were performed in all cases. TOAST criteria were used to determine subtypes of ischemic stroke patients. According to the duration from disease onset to hospital admission time, patients were assigned to 3 groups (Group I0 to 3 d, Group II4 to 7 d, Group III8 to 28 d) and the distribution of TOAST subtypes were compared among these three groups. Results: We collected 514 sets of clinical data from 10 oriental hospitals between May 2007 and September 2009. Small vessel occlusion (SVO) subtype was the most common (57.62%), followed by large artery atherosclerosis (LAA, 29.98%). Compared with TOAST distribution of KSR, the proportion of ischemic stroke patients with SVO subtype was higher than that of KSR. On the other hand the proportion of patients with stroke of undetermined etiology (SUE) was lower. Distributions of SVO, LAA and cardioembolism (CE) in group were I 66.4%, 23.8% and 8.9%, respectively; those in group IIIwere 51.03%, 34.71% and 11.57%, respectively. Conclusions: In oriental hospitals, the proportion of ischemic stroke patients diagnosed as SVO type was higher than that of KSR. At early stage (from onset to 2 d) proportion of SVO was very high, however after 7 days from onset it decreased with concomitant increases in proportions of LAA and CE. These phenomena may be due to the facts that 1) at early stage emergency treatments are limited in oriental hospitals, 2) after early stage many patients prefer oriental treatments, including rehabilitation.

• Korean Journal of Organic Agriculture
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• v.23 no.1
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• pp.123-131
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• 2015

In this study, viral disease samples were obtained between 2006 and 2010 from pepper fields in 11 major pepper-growing districts in Gangwon-do, and in 83 areas from other provinces, with the exception of Gyeongsangnam-do and Jeju island in Korea. In order to assess the type of infection, field surveys were conducted with regard to viral disease severity and virus type, based on typical symptoms on leaves. The means of single and mixed-virus infections were 46.6% and 48.0%, respectively, during those periods, suggesting that viruses are the agents that most severely decrease pepper production in field cultivation in Korea. In terms of single infection, Cucumber mosaic virus (CMV) was the most prevalent virus based on its disease severity ratings (34.8%). Next, Pepper mild mottle virus (PMMoV) and Pepper mottle virus (PepMoV) were shown to cause severe viral diseases in pepper, with disease severities of around 5-10%. On the other hand, Tomato spotted wilt virus (TSWV) occurs in a limited area in Chungcheongnam-do and Jeollanam-do. Thus, the viral disease caused by CMV, PMMoV, and PepMoV in pepper can be severe, and these virus types should remain considered critical reasons for decreased pepper production in field cultivation in Korea. In addition to single infection, mixed infections are frequently observed in collected pepper samples from all areas. The ratios of mixed infection were therefore studied to evaluate the disease severity of mixed infections and to define individual virus types. These data showed that different types of viruses were present, and CMV was the most abundant virus for mixed infection, as in the case of single infection. Among mixed infections, the highest disease severity was seen with CMV+Broad beam wilt virus 2 (BBWV2), followed by other types of mixed infection such as CMV+PepMoV and CMV+PMMoV. However, further work is needed to reduce the severe damage caused by viruses and to assess mixed infection types involving three or more viruses.

• Childhood Kidney Diseases
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• v.16 no.2
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• pp.138-141
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• 2012

Rituximab, a chimeric anti-CD20 IgG1 monoclonal antibody, has been used as a rescue therapy for steroid-dependent or refractory nephrotic syndrome. However, the adverse effects of rituximab are yet to be investigated. We report a case of a 9-year-old boy with steroid-dependent nephrotic syndrome who developed Kikuchi-Fujimoto disease after several cycles of rituximab therapy. Kikuchi-Fujimoto disease is a benign, self-limited necrotizing histiocytic lymphadenitis of unknown etiology. In the present case, Kikuchi-Fujimoto disease developed when the peripheral blood B-cell count of the patient was at nadir, and the lesion regressed slowly but spontaneously after recovery of the B-cell count. To our knowledge, although the pathologic diagnosis of Kikuchi-Fujimoto disease was unavailable, this is the first report of Kikuchi-Fujimoto disease with clinical diagnosis as a possible adverse effect of rituximab.

• Radiation Oncology Journal
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• v.2 no.2
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• pp.221-228
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• 1984

The recogition that the vast majority of patients with small cell lung cancer have distant metastatic disease at the time of diagnosis lead to the use of systemic chemotherapy and consequent major improvement in survival, but recently evaulated treatment strategies, integration of large field chest irradiation with chemotherapy lead to the improved the local control and relapse free survival in limited SCLC. Therefore, it is logical to combine the two modalities in an effort to maximize the therapeutic effect. Authors performed the combination chemotherapy of CAV (Cyclophosphamide, Adriamycin, an6 Vincristine) and radiotherapy of primary tumor and regional lymphatics with prophylatic cranial irradiation in 42 patients of limited SCLC, from Mar. 1978 to Dec. 1982 Seoul National University Hospital. The results are as follows : 1. CR and PR after 2 cycles chemotherapy is $7\%$ and $43\%$, respectively however, subsequent response to radiotherapy is $38\%$ and $43\%$ in CR and PR. 2. Overall median survival peroid is 8.6 months. 3. 1 year and 2 years survival rate is $46.3\%$ and $20.5\%$, respectively. 4. Incidence of proven brain metastasis is $5\%$.

• Clinical and Experimental Pediatrics
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• v.55 no.1
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• pp.1-5
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• 2012

The need for evidence-based decision making in immunization programs has increased due to the presence of multiple health priorities, limited human resources, expensive vaccines, and limited funds. Countries should establish a group of national experts to advise their Ministries of Health. So far, many nations have formed their own National Immunization Technical Advisory Groups (NITAGs). In the Republic of Korea, the Korea Expert Committee on Immunization Practices (KECIP), established by law in the early 1990s, has made many important technical recommendations to contribute to the decline in vaccine preventable diseases and currently functions as a NITAG. It includes 13 core members and 2 non-core members, including a chairperson. Core members usually come from affiliated organizations in internal medicine, pediatrics, obstetrics, microbiology, preventive medicine, nursing and a representative from a consumer group, all of whom serve two year terms. Non-core members comprise two government officials belonging to the Korea Centers for Disease Control and Prevention (KCDC) and the Korea Food and Drug Administration. Meetings are held as needed, but at least twice a year, and sub-committees are formed as a resource for gathering, analyzing, and preparing information for the KECIP meetings. Once the sub-committees or the KCDC review the available data, the KECIP members discuss each issue in depth and develop recommendations, usually by a consensus in the meeting. The KECIP publishes national guidelines and immunization schedules that are updated regularly. KECIP's role is essentially consultative and the implementation of their recommendations may depend on the budget or current laws.

• Perspectives in Nursing Science
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• v.6 no.1
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• pp.55-65
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• 2009

The Korean government introduced Home Care Services System to cut medical cost and make efficient use of limited medical resources because of increasing chronic diseases and the growing population of the elderly. The Korean government established measures to control the use of insurance services by restricting the number of nurse's visits to patient's home and by asking the patients to shoulder the transportation fee of nurses during the visit. Factors such as oversupply of hospital facilities, low price of home care services, high insurance coverage for hospital services and increased nuclear family set up resulted in the limited use of home care nursing services. The introduction of long-term care insurance in 2007 brought the decrease in the number of home care agencies and these agencies are facing a crisis today. The increase in chronic diseases and growing population of the elderly recently resulted in the need to control the high medical cost. Home care services for early discharge patients and chronic-severe disease patients will contribute in the reduction of medical cost at the same time improves the quality of patient's life. To catch up with the demands of the nation, accessibility to home care services should be improved and policies such as the expansion of home care services insurance coverage and promotion of establishing home care agencies should be considered.

• Journal of Acupuncture Research
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• v.40 no.3
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• pp.177-187
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• 2023

Varicose veins have a substantial burden on individuals' aesthetics and overall quality of life. The current body of research on Korean medical interventions for varicose veins is limited in Korea, and exploration into clinical trends is lacking. This review specifically analyzed fire acupuncture, which is an understudied intervention in Korea that demonstrated efficacy in alleviating pain and paralysis while promoting tissue regeneration. A comprehensive investigation of the China National Knowledge Infrastructure database was conducted, utilizing terms such as "varicose vein," "fire needle," "fire acupuncture," "burning acupuncture," "burning needle," "huǒzhēn," "xiàzhī jìngmài," and "jìngmài qūzhāng." This review included 14 studies investigating the role of fire acupuncture in treating varicose veins. We extracted variables, including age, sex, disease duration, intervention method, treatment frequency, treatment period, acupoints, and outcomes. Fire acupuncture appeared as the primary intervention method, followed by general acupuncture. The protruding part of varicose veins is the main treatment area for fire acupuncture, while the acupoints BL57 and ST36 were most frequently utilized for general acupuncture. Treatment results revealed significant improvement in all studies. However, there are limitations, such as scarce studies, limited side effects studies, and potential bias. Consequently, extensive and well-structured future studies are necessary to demonstrate the role of fire acupuncture in varicose veins.

• Journal of Animal Science and Technology
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• v.65 no.6
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• pp.1254-1269
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• 2023

This study aims to predict the change in corn share according to the grazing of 20 gestational sows in a mature corn field by taking images with a camera-equipped unmanned air vehicle (UAV). Deep learning based on convolutional neural networks (CNNs) has been verified for its performance in various areas. It has also demonstrated high recognition accuracy and detection time in agricultural applications such as pest and disease diagnosis and prediction. A large amount of data is required to train CNNs effectively. Still, since UAVs capture only a limited number of images, we propose a data augmentation method that can effectively increase data. And most occupancy prediction predicts occupancy by designing a CNN-based object detector for an image and counting the number of recognized objects or calculating the number of pixels occupied by an object. These methods require complex occupancy rate calculations; the accuracy depends on whether the object features of interest are visible in the image. However, in this study, CNN is not approached as a corn object detection and classification problem but as a function approximation and regression problem so that the occupancy rate of corn objects in an image can be represented as the CNN output. The proposed method effectively estimates occupancy for a limited number of cornfield photos, shows excellent prediction accuracy, and confirms the potential and scalability of deep learning.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.204-212
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• 2023

Diabetes is a condition that can be brought on by a variety of different factors, some of which include, but are not limited to, the following: age, a lack of physical activity, a sedentary lifestyle, a family history of diabetes, high blood pressure, depression and stress, inappropriate eating habits, and so on. Diabetes is a disorder that can be brought on by a number of different factors. A chronic disorder that may lead to a wide range of complications. Diabetes mellitus is synonymous with diabetes. There is a correlation between diabetes and an increased chance of having a variety of various ailments, some of which include, but are not limited to, cardiovascular disease, nerve damage, and eye difficulties. There are a number of illnesses that are connected to kidney dysfunction, including stroke. According to the figures provided by the International Diabetes Federation, there are more than 382 million people all over the world who are afflicted with diabetes. This number will have risen during the years in order to reach 592 million by the year 2035. There are a substantial number of people who become victims on a regular basis, and a significant percentage of those people are uninformed of whether or not they have it. The individuals who are most adversely impacted by it are those who are between the ages of 25 and 74 years old. This paper reviews about various machine learning techniques used to detect diabetes mellitus.