• Korean Journal of Ecology and Environment
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• v.52 no.4
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• pp.306-315
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• 2019

The estuary of the Han River constantly suffers from pollutants and pathogenic microorganisms which could cause serious damage to aquatic organisms living there. Despite of this potential risk, it is hard to find any reliable scientific reports on the status of reportable disease infection to the organisms living in this area. In this study, cyprinid fish and crustaceans in Jeonryu-ri, a region of the Han River estuary, were investigated for the infection by representative reportable communicable diseases(SVC, spring viraemia of carp; KHVD, koi herpesvirus disease; EUS, epizootic ulcerative syndrome; WSD, white spot disease) and parasites. Peripheral fish and primary freshwater fish were observed in Jeonryu-ri with cyprinid caught most frequently. Crustaceans were mostly marine species. No positive bands to any of the reportable diseases were produced in any of the fish and crustacean examined in this study by PCR. No trace of Clonorchis sinensis, a liver fluke potential threat to human health, was detected in any of fish samples. However, many fish were infected by metacecaria of other flukes, and other various parasites such as nematode, cestode, copepod, monosite and acanthocephalan. These results suggest that important aquatic organisms in the Han River estuary is not seriously polluted yet. However, it is important to keep monitoring the diseases since the water quality in this region is constantly changing, and devastating influence of infectious diseases is unpredictable. Further, it is required to expand monitoring area toward upstream and increase the number of fish for examination.

• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.31-39
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• 2014

Seasonal influenza epidemics cause 3 to 5 millions severe illness and 250,000 to 500,000 deaths worldwide each year. To prepare better controls on severe influenza epidemics, many studies have been proposed to achieve near real-time surveillance of the spread of influenza. Korea CDC publishes clinical data of influenza epidemics on a weekly basis typically with a 1-2-week reporting lag. To provide faster detection of epidemics, recently approaches using unofficial data such as news reports, social media, and search queries are suggested. Collection of such data is cheap in cost and is realized in near real-time. This research aims to develop regression models for early detecting the outbreak of the seasonal influenza epidemics in Korea with keyword query information provided from the Naver (Korean representative portal site) trend services for PC and mobile device. We selected 20 key words likely to have strong correlations with influenza-like illness (ILI) based on literature review and proposed a logistic regression model and a multiple regression model to predict the outbreak of ILI. With respect of model fitness, the multiple regression model shows better results than logistic regression model. Also we find that a mobile-based regression model is better than PC-based regression model in estimating ILI percentages.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.667-675
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• 2016

The aim of this study is to predict use behavior for social welfare service of the elderly mentally ill through means-end chain theory. Means-end chain theory explains cognitive structure related to the consumer's preference to various products and services. Although the elderly mentally ill begin to emerge as new client population, social welfare services for them do not seem to be enough in the community. Based on this awareness, this study tried to analyse service use behavior of the elderly mentally ill through means-end chain theory to develop new social welfare services. The data were collected from 15 elderly mentally ill and found 5 attributes, 10 consequences, and 11 values. Hierarchical Value Map was composed of 'disease management, rehabilitation preparation, hobby leisure ${\rightarrow}$ health maintenance, energy of life ${\rightarrow}$ social reintegration, life satisfaction, harmonious family life'. To activate the social service for the elderly mentally ill, it should be developed various programs such as disease management, rehabilitation preparation, hobby leisure for the elderly mentally ill. The ultimate value of these programs will be improve life satisfaction and integrated into society.

• Journal of the Korea Society of Computer and Information
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• v.25 no.9
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• pp.37-44
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• 2020

AI technology has developed in the form of decision support technology in law, patent, finance and national defense and is applied to disease diagnosis and legal judgment. To search real-time information with Deep Learning, Big data Analysis and Deep Learning Algorithm are required. In this paper, we try to predict the entrance rate to high-ranking universities using a Deep Learning model, RNN(Recurrent Neural Network). First, we analyzed the current status of private academies in administrative districts and the number of students by age in administrative districts, and established a socially accepted hypothesis that students residing in areas with a high educational fever have a high rate of enrollment in high-ranking universities. This is to verify based on the data analyzed using the predicted hypothesis and the government's public data. The predictive model uses data from 2015 to 2017 to learn to predict the top enrollment rate, and the trained model predicts the top enrollment rate in 2018. A prediction experiment was performed using RNN, a Deep Learning model, for the high-ranking enrollment rate in the special education zone. In this paper, we define the correlation between the high-ranking enrollment rate by analyzing the household income and the participation rate of private education about the current status of private institutes in regions with high education fever and the effect on the number of students by age.

• Journal of Nutrition and Health
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• v.42 no.7
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• pp.631-638
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• 2009

This study was performed to examine the health risks according to the obesity types based upon body mass index (BMI) and waist circumference (WC) cutoffs. The subjects were 8,966 adults aged 40-79 years from the 1998, 2001 and 2005 Korean National Health and Nutrition Examination Surveys. The subjects were classified into 4 types of obesity groups based on BMI and WC: BMIWC (BMI${\geq}$ 25 kg/$m^2$ and WC${\geq}$ 90 cm for males and ${\geq}$ 85 cm for females), WC (BMI < 25 kg/$m^2$ and ${\geq}$ 90 cm for males and ${\geq}$ 85 cm for females), BMI (BMI ${\geq}$ 25 kg/$m^2$ and < 90 cm for males and < 85 cm for females), normal (BMI < 25 kg/$m^2$ and < 90 cm for males and < 85 cm for females) groups. More than half (n = 5,103) of the subjects fell into the normal group and BMIWC group accounts for 58%, followed by BMI group of 27% and WC group of 16%. Mean ages of subjects were highest in WC group and lowest in BMI group. Blood levels of total cholesterol, triglyceride, LDL-cholesterol and glucose, and blood pressures were higher and HDL-cholesterol was lower in 3 types of obesity groups (BMIWC, WC, BMI) than in the normal group. Among the 3 obesity groups, energy and fat intake was significantly higher in BMIWC than in normal group in males, however, no differences were found among the 4 groups in females. The three obesity groups had greater odds ratios for hypertension, diabetes mellitus, hypercholesterolemia, hyper-LDL-cholesterolemia, hypo-HDL-cholesterolemia, hypertriglyceridemia, and metabolic syndrome compared to the normal group. Among 3 obesity groups, BMIWC group had the highest odds ratios for hypertension, diabetes mellitus, and metabolic syndrome. Especially BMIWC and WC groups showed the highest odds ratios for diabetes mellitus and metabolic syndrome, suggesting the potential role of abdominal obesity in diabetes mellitus and metabolic syndrome. Our data indicate that different types of obesity may show different degrees of health risks. The appropriate selection and use of obesity indexes may be effective for management of obesity as well as obesityrelated diseases.

• Journal of the Korean Society of Radiology
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• v.8 no.3
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• pp.123-136
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• 2014

In this paper, we study to classify molecular imaging and applications to predict future. Molecular imaging in vivo at the cellular level and the molecular level changes taking place to be imaged, that is molecular cell biology and imaging technology combined with the development of the new field. Molecular imaging is used fluorescence, bioluminescence, SPECT, PET, MRI, Ultrasound and other imaging technologies. That is applied to monitoring of gene therapy, cell tracking and monitoring of cell therapy, antibody imaging, drug development, molecular interaction picture, the near-infrared fluorescence imaging of cancer using fluorescence, bacteria using tumor-targeting imaging, therapeutic early assessment, prediction and therapy. The future of molecular imaging would be developed through fused interdisciplinary research and mutual cooperation, which molecular cell biology, genetics, chemistry, physics, computer science, biomedical engineering, nuclear medicine, radiology, clinical medicine, etc. The advent of molecular imaging will be possible to early diagnosis and personalized treatment of disease in the future.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.271-281
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• 2015

The purpose of this study was to explore convergence on the theory of unpleasant symptom, and factors affecting quality of life of liver cirrhosis patients. A total of 198 liver cirrhosis patients were recruited symptom experiences, physiologic factors, psychological factors, situational factors, and quality of life. Data were collected from March, to May, 2014 and analyzed using one-way ANOVA, Pearson correlations, multiple regressions analysis with PASW (SPSS) 21.0. Variables such as duration of liver cirrhosis(${\beta}=.19$, p<.001), symptom experiences(${\beta}=.19$, p=.032), physical(${\beta}=.15$, p=.008), psychological(${\beta}=.39$, p<.001) and situational factors(${\beta}=.32$, p<.001) explained 51.8% of variance in quality of life(F=15.57, p<.001). The symptom experiences, physiological, psychological and situational factors should be considered for caring liver cirrhosis patients. Symptoms of postmyocardial infarction (post-MI) patients at risk for progression to heart.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.104-110
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• 2010

In the field of biotechnology, computer can play varied roles such as the ordinal analysis, ordianl comparison, nutation tracing, analogy comparison for drug design, estimation of protein function, cell mechanism, and verifying the role of a gene for preventing diseases. Additionally, by constructing database, it can provide an application for the cloning process in other data researches, and be used as a basis for the comparative genetics. For the most of researcher about biotechnology, they need to use the tool that can do all of job above. This study is focused on looking into problems of existing systems to analysis bio data, and designing an improved analyzing system that can propose a solution. In additional, it has been considered to improve the performance of each constituent, and all the constituents, which have been separately processed, are combind in a single system to get over old problems of the existing system.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.35-42
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• 2010

The increasing regular medical check up rate for early diagnosis in disease has increasing sleep endoscopy rate because of reduction with discomfort. The purpose of this study was to determine the number of recovery bed as increasing sleep endoscopy rate using check up time, waiting time & recovery time at a general hospital in Seoul. This study was analyzed using ARENA 10.0 program. At present and as increasing of sleep endoscopy rate 10%, 20% was increased recovery time, waiting time & the rate of bed inflection. So at present, the number of recovery bed has to increase for client's safety and as increasing of sleep endoscopy rate 10%, 20% has to increase 3 and then waiting time decreased in 2 minutes.

• Journal of Chest Surgery
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• v.30 no.12
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• pp.1205-1213
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• 1997

This study reviewed useful aspects of the intraoperative transesophageal echocardiography among the patients in whom heart surgery were undertaken between January 1996 and July 1996 at St.Pauls hospital, Medical College of Catholic University, Seoul, Korea. During that period, 61 patients were operated on because of valvular heart disease(25 patients), coronary artery disease(22 patients), congenital heart disease(13 patients), and combined coronary artery disease and valvular heart disease(1 patient). Two patients(1 redo-VSD and 1 valvular heart diease) needed repeated aortic cross clamping and complementary procedures because of incomplete initial procedures. There was no incidence of air embolism. We could observe significant relationship of cardiac output monitoring methods either by thermodilution technique and transesophageal echocardiography by linear regression analysis(p<0.001). We tested myocardial response(percentage of systolic wall thickness, PSWT) with low dose dobutamine challenge to predict post-CABG myocardial perfusion. And the test showed statistically significant resp.onse(sensitivity 76%, specificity 94.7%, positive predictive value 95%, negative predictive value 75%). These results suggest that cardiac surgeon could draw more benefits by intraoperative transesophageal echocardiography.