• KIPS Transactions on Software and Data Engineering
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• v.8 no.2
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• pp.51-60
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• 2019

While the quality of life is enhanced as many types of diseases are remedied, there is a high demand for analysis and research on gene-related diseases. There exists various forms and requirements in analyzing the relevance between genes and diseases, and the runtime efficiency can be decreased due to the level of algorithm optimization. This paper proposes a platform for analyzing gene disease relevance, provides API for remedying the variability issue, and suggests two algorithms which optimize the runtime efficiency. And, we conduct experiments for measuring the relevancy using the analysis API, and compare the two algorithms. The first algorithm is to improve the runtime efficiency comparing to the conventional methods, and the second algorithm is to improve the runtime efficiency with lower accuracy. This platform can be well utilized for analyzing various forms of gene disease analytics.

• KOREAN POULTRY JOURNAL
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• v.37 no.5 s.427
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• pp.54-56
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• 2005

• Journal of Korea Game Society
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• v.21 no.3
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• pp.91-106
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• 2021

This study examined how news has covered games since the decision to include gaming disorder in ICD-11. Data were 694 news article on games in five major newspapers. The results indicated the following: While the proportion of reports on game industry was high, those reports were mainly straight news announcing industry status and corporate management status. Reports on game policy focused on regulations, particularly game addiction or disorder. Reports on game uses and effects showed very low rates, but they have followed the existing practices of reporting games as the cause of extreme crimes and deviant behaviors.

• Journal of Nutrition and Health
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• v.46 no.1
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• pp.86-97
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• 2013

This study investigated the eating habits of elementary school children and their perceptions related to traditional Korean foods, based on the health belief model. The subjects were fifth grade elementary school children (274 boys and 274 girls) in eight Korean cities. The results were as follows: The children ate almost three meals per day and were grateful for their meals. However, they irregularly consumed meals and snacks. They tended to eat heartily and did not eat foods that they had not yet eaten. Their meals were based on rice and they have eaten kimchi and vegetables at almost every meal. However, they had undesirable habits in eating other foods, such as fruits, fish, soybeans, and sweet foods. They did not sensitively or seriously perceive their eating habits in relation to their health. They perceived that it was very good for their nutrition, health, and tastes to eat traditional Korean foods, and they had pride in traditional Korean foods and eating style. Although they expressed some difficulty regarding availability and preparation of traditional Korean foods, they hardly felt difficulty in eating them. They had high dietary self-efficacy with regard to eating these foods, except for two items of self-regulation. Their eating habits showed positive correlation with dietary self-efficacy, perceived susceptibility, and perceived benefit. In conclusion, eating habits of elementary school children in relation to traditional Korean foods are not desirable, but not serious. They did not sensitively or seriously perceive their eating habits in relation to their health. However, they perceived that it was very good for their nutrition and health to eat traditional Korean foods, did not have a high level of difficulty in eating them, and had high dietary self-efficacy with regard to eating them. Therefore, we suggest that children should be exposed to various traditional Korean foods, along with education about them, in order to enhance their concern and motivation to eat them.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.8 no.1
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• pp.34-42
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• 1997

Enuresis is repeated involuntary or intentional voiding of urine into bed or clothes over age 5. Though it would be a self-remitting disorder, it could be serious problem in emotional and socio-adaptational aspects. The author reviewed the enuretic patients of Child & Adolescence psychiatric section in Chungnam National University Hospital during past 3 years. 46(4.9%) of 936 patients were diagnosed as enuresis in DSM-Ⅳ. The author evaluated their comorbidity by the data of diagnostic review made in two psychiatrists, and emotional aspects(self-concept, anxiety, depression) through the self-rating scales (Piers-Harris children’ self concept scales, RCMAS, state-trait anxiety inventory for children, child’s depresson inventory). Thirty(65.2%) of the 46 enuretic patients had additional diagnoses such as attention deficit hyperactive disorder, mental retardation, encopresis, oppositional defiant disorder, depression, anxiety disorder, autism, somatoform disorder, tic disorder, obsessive-compulsive disorder, sleep disorder, etc. Sixteen enuretic patients had at least one comorbid disorder. Eleven patients had two, and three patients had more than three. Fourteen of 46 enuretic patients were evaluated through self-rating scales of self-concept, anxiety and depression. But we couldn’t obtain meaningful results. Maybe it was due to the small sample size(N＝14) and the influence of the comorbid disorders. Finally, it was an impressive evidence that there exist many comorbid disorders in enuresis(esp. attention deifict/hyperactive disorder). In emotional aspects, the author thought that further evaluation should be needed for more meaningful results.

• Journal of Life Science
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• v.3 no.4
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• pp.209-215
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• 1993

어류의 대량폐사의 원인은 여러 가지가 있을 수 있는데 가장 중요한 것 중의 하나가 바이러스 감염에 의한 것이다. 우리나라 송어양식의 경우, 바이러스성 질병에 의한 대량폐사가 발생하여 매년 수천만마리의 치어가 폐사되어 왔는데 이 질병의 원인을 조사한 결과, 전염성 췌장 괴사 바이러스(Infectious Pencreatic Necrosis Virus ; IPNV)와 전염성 조혈기 괴사 바이러스(Infectious Hematopoietic Necrosis Virus ; IHNV)가 분리되어 이들의 대량폐사의 병원체임읠 밝혀내었다. 따라서 본 총설에서는 연어과 어류중 양식 대상종인 무지개송어 양식시 전염성과 병원성이 강해 치어기에 들어 대량폐사를 유발시키는 IHNV에 대해 최근 연구 결과를 중심으로 바이러스 분리 및 동정, 신속진단, 바이러스 백신 기초 기술 개발순으로 기술하고자 한다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 1996.07a
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• pp.89-102
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• 1996

본 연구는 우리나라 대기오염의 실태를 알아보고, 급격히 증가하고 있는 대기오염으로 인한 사회적 비용을 산출해 봄으로서 비용-편익분석에 기초하여 이루어지고 있는 선진국형 환경규제기준의 발판을 마련하는데 그 의의가 있다. 이러한 연구는 앞으로 WTO의 정식의제로 채택되리라고 예상되는 환경정책에 능동적으로 대응하고, 우리나라 환경정책의 우선순위의 결정 및 사람들이 체감으로 느끼는 대기오염의 심각성을 확인시킴으로써 환경보전에 대한 인식을 확산, 환경정책의 수행을 용이하게 한다. 이산화질소와 호흡기 질환의 반응도에 관한 실증분석의 결과는 이산화질소가 인체의 호흡기 질환에 매우 유의적인 영향을 미치고, 이산화질소 대기오염으로 인한 한해 동안의 사회적 비용은 약 5조 3,946억원을 상회했다. 이외에 상관관계를 이용해 대기오염이 질병에 미치는 영향을 진료과목별로 분류하여 분석한 결과는 대기오염이 질병에 상당한 상관관계를 갖고 질병을 유발시키고 있음을 확인했다.

• The Korean Journal of Applied Statistics
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• v.27 no.6
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• pp.933-945
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• 2014

Bayesian spatiotemporal analysis is of considerable interest to epidemiological applications because health data is collected over space-time with complicated dependency structures. A basic concept in spatiotemporal modeling is introduced in this paper to analyze space-time disease data. The paper reviews a range of Bayesian spatiotemporal models and analyzes Hepatitis A data in Korea.

• 월간산업보건
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• s.69
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• pp.26-32
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• 1994

어떠한 직업성 폭로와 그리고 특정한 질병간의 원인결과 관련성이 매우 명확할 때 이러한 질병은, 의학적으로 또한 대부분의 경우에 법적으로 직업성 질환으로 규정된다. 그러나 작업과 작업조건은 이러한 명확한 원인결과관계 이외에도, 일반적인 질환의 발생에 일부분 기여할수 있는데, 이는 원인의 일부로 또는 일단 발생된 질환을 악화시키는 것으로 기여할수 있고, 근로자의 직업과 관련된 생활습관을 통하여 간접적으로 그게 되는데, 이는 반드시 원인결과의 관계이어야만 한다는 것은 아니고, 직업과 직업 또는 작업조건에 어떠한 면으로 관련되어 있으면 이러한 범주에 들게 된다. 고전적인 직업병은 이러한 관련성의 한 극단을 이루고 있으며, 직업과 관련되어서 매우 미약한 관련성을 가지는 또는 불확실한 관련을 가지는 질환들은 다른 극단을 점하고 있다. 이러한 극단들 사이에 위치한 많은 질환들은 어떠한 특정한 조건에서만 업무관련성을 지니며 그들의 원인은 항상 다원적인(multifactotial) 것이다. 이러한 관련성의 확정은 역학의 중요한 역할중의 하나이나 이 글에서는 대표적인 몇가지 질환을 대상으로 이러한 연구에서 고려하여야 할 점들을 Sven Hernberg의 "Introduction to Occupational Epidemiology"를 통하여 정리하여 보고자 하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.259-261
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• 2005

수천개의 Gene Expression Measurement를 생성해 내는 DNA Microarray 연구는 조직과 세포의 표본으로부터 진단에 유용한 Gene Expression 정보를 모으게 된다. 이런 종류의 Data를 분석하기 위하여 SVM(Support Vector Machine)을 사용한 새로운 방법이 연구되어왔다. 본 논문에서는 Gene Expression Data에 대한 고유벡터(Eigen Vector)를 이용하여 SVM의 성능을 향상시키고 질병진단에 유용한 Gene을 찾아 내는 알고리즘을 기술한다. 고유벡터를 통하여 Gene을 선택적으로 SVM Learning에 참가 시키고 분류의 결과를 통하여 추가된 Gene이 질병 진단에 미치는 영향력을 알아냄으로써 질병에 대한 Gene 역할을 파악 하는데 활용할 수 있다.