• 대한한방내과학회지
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• 제28권4호
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• pp.896-901
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• 2007

Objectives : This study aimed to evaluate the characteristics of patients with single infarction and multiple infarctions. Method : We studied inpatients who were admitted from 2005/10/1 to 2007/3/30 at the KyungHee University Oriental Medical Center (KOMC) Department of Cardiovascular & Neurology (stroke center). We sorted small vessel occlusion patients and evaluated general characteristics of the patients along with the characteristics of single and multiple infarction patients. Result : We evaluated 262 inpatients, and did not find any significant difference in age, hypertension, diabetes, hyperlipidemia, diet, exercise, homocysteine, or Sasang constitution between single infarction and multiple infarction. However, there were more significant associations with patients' smoking and stress with multiple infarctions than single infarction. Conclusion : From this study we could roughly grasp the characteristics of Small Vessel Occlusion patients and evaluated the characteristics of patients with multiple infarction. However, due to the special circumstance of the KOMC inpatients it is difficult to generalize our results; further multiple center research with a larger study group is needed.

• ETRI Journal
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• 제39권6호
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• pp.851-858
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• 2017

Parkinson's disease is a growing and chronic movement disorder, and its diagnosis is difficult especially at the initial stages. In this paper, movement characteristics extracted by a computer using multilayer back propagation neural network mapping are converted to the symptoms of this disease. Then, modulation of three classifiers of C4.5, k-nearest neighbors, and support vector machine with majority voting are applied to support experts in diagnosing the disease. The purpose of this study is to choose appropriate characteristics and increase the accuracy of the diagnosis. Experiments were performed to demonstrate the improvement of Parkinson's disease diagnosis using this method.

• IMMUNE NETWORK
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• 제21권1호
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• pp.10.1-10.13
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• 2021

The coronavirus disease 2019 (COVID-19) pandemic (severe acute respiratory syndrome coronavirus 2) is a global infectious disease with rapid spread. Some patients have severe symptoms and clinical signs caused by an excessive inflammatory response, which increases the risk of mortality. In this study, we reanalyzed scRNA-seq data of cells from bronchoalveolar lavage fluids of patients with COVID-19 with mild and severe symptoms, focusing on Ab-producing cells. In patients with severe disease, B cells seemed to be more activated and expressed more immunoglobulin genes compared with cells from patients with mild disease, and macrophages expressed higher levels of the TNF superfamily member B-cell activating factor but not of APRIL (a proliferation-inducing ligand). In addition, macrophages from patients with severe disease had increased pro-inflammatory features and pathways associated with Fc receptor-mediated signaling, compared with patients with mild disease. CCR2-positive plasma cells accumulated in patients with severe disease, probably because of increased CCL2 expression on macrophages from patients with severe disease. Together, these results support the hypothesis that different characteristics of B cells might be associated with the severity of COVID-19 infection.

• BMB Reports
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• 제39권5호
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• pp.537-545
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• 2006

CMTM/CKLFSF is a novel family of proteins linking chemokines and TM4SF. In humans, these proteins are encoded by nine genes, CKLF and CMTM1-8/CKLFSF1-8. Here we report the characteristics and expression profile of CMTM3/CKLFSF3. Human CMTM3/CKLFSF3 has a high sequence identity among various species and similar characteristics as its mouse and rat homologues. Established by results both of RT-PCR and Quantitative Real-time PCR, the gene is highly transcribed in testis, leukocytes and spleen. For further verification, we generated a polyclonal antibody against human CMTM3/CKLFSF3 and found that the protein is highly expressed in the testis and some cells of PBMCs. Therefore, CMTM3/CKLFSF3 is an evolutionarily conserved gene that may have important roles in the male reproductive system and immune system. Further studies are necessary to validate its functions in the two systems.

• 한국멀티미디어학회논문지
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• 제19권2호
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• pp.209-214
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• 2016

The purpose of this study was to classify healty persons and Parkinson disease patients from the vocal characteristics of healty persons and the of Parkinson disease patients using Machine Learning algorithms. So, we compared the most widely used algorithms for Machine Learning such as J48 algorithm and REPTree algorithm. In order to evaluate the classification performance of the two algorithms, the results were compared with depending on vocal characteristics. The classification performance of depending on vocal characteristics show 88.72% and 84.62%. The test results showed that the J48 algorithms was superior to REPTree algorithms.

• Journal of Acupuncture Research
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• 제41권1호
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• pp.17-28
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• 2024

This study aimed to analyze whether the coronavirus disease 2019 (COVID-19) pandemic affected the characteristics of first-visit patients with peripheral facial palsy (PFP) and observe changes in their characteristics. This study analyzed the electronic medical records of 2,310 first-visit patients with PFP who visited the Facial Palsy Center, Kyung Hee University Korean Medicine Hospital from January 1, 2019, to December 31, 2021, in terms of demographic characteristics, disease phase, residence locations, hospital visit route, and patient care. During COVID-19, the proportion of acute patients increased by 5.3%, the proportion of visits by residents in Seoul increased by 3.8%, and the proportion of patients receiving only outpatient treatments increased by 12.8%. Significant relationships were present between the presence of the COVID-19 pandemic and the number of patients by disease phase (p = 0.043), residence locations (p = 0.003), and patient care (p = 0.003). Thus, several differences in the characteristics of first-visit patients with PFP visiting a Korean medicine hospital during the COVID-19 pandemic in terms of demographic characteristics, disease phase, residence locations, and patient care.

• 대한예방의학회:학술대회논문집
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• 대한예방의학회 2005년도 제57차 추계 학술대회 연제집
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• pp.355-355
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• 2005

• Journal of Preventive Medicine and Public Health
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• 제32권2호
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• pp.130-140
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• 1999

Objectives: This study was carried out to estimate the magnitude of skin disease related to occupation and to find out the characteristics of it. Methods: We collected and analyzed the cases of occupational skin disease reported by surveillance system composed of doctors and nurses in 150 enterprises with dispensary or attacked hospital and physicians in 92 specific health examination institutes and 150 dermatologists from May to November, 1998. Results: Among members of surveillance system, 66 enterprises and 47 specific health examination institutes and 55 dermatologists reported 571 cases of occupational skin disease in 512 workers. Excepting 81 cases reported by dermatologists, We analyzed 490 cases reported by enterprises and specific health examination institutes. Among 490 cases, contact dermatitis was most common(368 cases, 75.1%) and the second was hyper or hypopigmentation(36 cases, 7.3%). When we analyzed the characteristics of workers with occupational contact dermatitis, male workers were 281 (79.2%) and female were 74(20.8%). 165 workers(64.5%) had chronic skin disease with repeated cure and relapse. 245 workers(72.5%) answered positively that their coworkers had similar skin disease. 27 workers(8.7%) experienced absence due to contact dermatitis related to occupation. To analyze the type of industries of workers with occupational contact dermatitis, automobile and trailer manufacturing industry was most common(105 cases, 29.6%) and the second was manufacturing industry for image, sound and communication equipment(55 cases, 15.5%). Organic solvent(183 cases, 46.7%) was the most common treating material of workers with contact dermatitis and the second was various kinds of chemicals(59cases, 15.1%). Conclusions: This is the first study using nationwide surveillance system to collect data of occupational skin disease. We found that many workers had skin disease related to occupation and characteristics of occupational skin disease were chronic and clustering. Therefore, we had to establish counterplan to manage occupational skin disease and to operate surveillance system to identify trends of occupational skin disease, continuously.

• 한국컴퓨터정보학회논문지
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• 제21권3호
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• pp.65-71
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• 2016

To reduce the expenses for development a novel drug, systems biology has been studied actively. Target prediction, a part of systems biology, contributes to finding a new purpose for FDA(Food and Drug Administration) approved drugs and development novel drugs. In this paper, we propose a classification model for predicting novel target genes based on relation between target genes and disease related genes. After collecting known target genes from TTD(Therapeutic Target Database) and disease related genes from OMIM(Online Mendelian Inheritance in Man), we analyzed the effect of target genes on disease related genes based on PPI(Protein-Protein Interactions) network. We focused on the distinguishing characteristics between known target genes and random target genes, and used the characteristics as features for building a classifier. Because our model is constructed using information about only a disease and its known targets, the model can be applied to unusual diseases without similar drugs and diseases, while existing models for finding new drug-disease associations are based on drug-drug similarity and disease-disease similarity. We validated accuracy of the model using LOOCV of ten times and the AUCs were 0.74 on Alzheimer's disease and 0.71 on Breast cancer.

• 중환자간호학회지
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• 제4권1호
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• pp.1-10
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• 2011

Purpose: The study was conducted to find out clinical characteristics for coronary artery disease patients with diabetes mellitus. Methods: We retrospectively reviewed the electronic medical records which included the data of 6,792 patients, who had been diagnosed coronary artery disease (CAD) such as angina or acute myocardial infarction and admitted to a university hospital in Seoul from January, 2005 to November, 2010. Results: Of the 6,792 patients, 43% had been diagnosed diabetes as comorbidity. The CAD patients with diabetes had lower left ventricular ejection fraction, stayed longer at hospital, and spent on more time from the first symptom to hospital visit than those without diabetes. In addition, they were more likely to have multi vessel coronary artery disease. Conclusion: The CAD patients with diabetes lay on the various factors which can make more worsen condition. Hence, we need to pay attention to specialized nursing care and patient education for the CAD patients with diabetes.