• Proceedings of the KSCN Conference
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• 2005.04a
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• pp.9-13
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• 2005

많은 질병의 발생원인의 약 60%이상이 환경요인 때문이라는 것이 잘 알려져 있고 영양과 식이섭취의 중요도는 이중에서도 가장 중요한 것으로 알려져 있다. 특히 Human Genome Project의 완성 이후 Genomics시대에 발맞추어 여러 가지 high throughput 실험들이 가능해지고 Single Nucleotide Polymorphism (SNP)의 발굴이 진행되면서 영양소와 식이요인들의 유전자 발현과 유전학적 변이와의 상관관계가 질병의 예방차원에서 앞으로 연구되어야할 큰 과제로 대두되고 있으며 이를 통한 개개인에 적합한 영양섭취를 권장하는 새로운 방향의 영양관리에 가능성에 대해 많은 관심이 쏠리고 있다. 이에 본 발표에서는 Nutrinogenomics와 Nutrinogenetics의 연구방향과 연구 성과들을 소개하여 유전적 요인에 의한 식이요소의 섭취경향이 질병에 어떠한 관련이 있는지, 최근까지의 연구에서의 제한점은 어떠한 것이 있는지 살펴보고자 한다.

• Korean Journal of Rural Living Science
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• v.7 no.2
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• pp.189-194
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• 1996

포괄적 의료서비스를 제공하는 가정의에게 농촌지역의 질병 양상 및 실태에 대한 파악은 중요하고 지역사회를 이해하는데 도움이 될 것이다. 하지만 노령화된 농촌지역의 만성질환의 유병율 및 실태에 대한최근의 연구는 많지 않을 것 같다. 본 연구를 위 한 진료활동은 농촌지 역의 2개면에서 가정의학과, 내과, 정형외과, 흉부외과 전문의에 의해 행해졌고 흉부 방사선 촬영 및 CBC, LFT, 요 검사, B형간염항원, 항체 등의 임상병리 검사를 병행하였다. 본 연구의 조사대상은 479명으로 성별로는 남자가 194명 (40.5%), 여자가 285명 (59.5%)였고 연령별로는 60세가 남녀에서 가장 높았다. 조사 대상자의 만성질환 유병율은 66.2%였고 남녀에서 비슷한 수준이였고 질병의 빈도는 근 골격계 질환이 40.9%로 가장 높았고 순환기 질환, 소화기 질환, 호흡기 질환, 내분비 질환의 순서로 많았다. 농촌사회는 과거에 비해 더욱 고령화되고 만성질환의 유병율은 더욱 증가하고 있다. 농촌에 대한 보건복지정책의 수립과 더불어 지속적, 총체적, 포괄적인 의료서비스를 지향하는 가정의는 더욱 많은 관심과 연구를 지속적으로 하여야 할 것이다.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.4
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• pp.781-786
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• 2019

We should give a realistic value on the large amounts of relevant data obtained from these studies to achieve effective objectives of the disease study which is dealing with various vital phenomenon today. In this paper, the proposed MKSV algorithm is estimated by optimal probability distribution, and the input pattern is determined. After classifying it into data mining, it is possible to obtain efficient computational quantity and recognition rate. MKSV algorithm is useful for studying the relationship between disease and gene in the present society by simulating the probabilistic flow of gene data and showing fast and effective performance improvement to classify data through the data mining process of big data.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.709-714
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• 2009

Recently, biological researches are required to deal with a large scale of data. While scientists used classical experimental approaches for researches in the past, it is possible to get more sophisticated observations easily with convergence of information technologies and biology. The study on diseases is one of the most important issues of the life science. Conventional services and databases provide users with information such as classification of diseases, symptoms, and medical treatments through web. However, it is hard to connect or develop them for other new services because they have independent and different criterions. It may be a factor that interferes the development of biology. In this paper, we propose an integrated data structure for the disease database, and design and implement a novel directory system for diseases as an infrastructure for developing other new services.

• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.346-357
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• 2015

Purpose: This descriptive study was to examine uncertainty and performance of infection control in the VRE patients' caregivers. Methods: The participants were 82 caregivers who involved with the VRE patients care in D tertiary hospital in D metropolitan city. Data were analyzed with number, percentage, t-test, and ANOVA using SPSS/Win 21.0. Results: The participants' uncertainty was 56.99 and performance of infection control was 35.09. Performance of infection control was significantly different by age (F=121.38, p<.001), education (F=102.77, p<.001), relationship with the patient (F=17.80, p<.001), hours of caring per day (t=3.14, p=.002), and type of family (t=-8.65, p<.001). There was a significant negative correlation between participants' uncertainty and performance of infection control (r=-.96, p<.001). Conclusion: The results of the study will be used to develop nursing intervention program and standard protocol for infection control for the VRE patients' caregivers.

• Journal of Convergence for Information Technology
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• v.9 no.6
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• pp.52-64
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• 2019

The purpose of this study was to understand and describe the illness experience of middle-aged women who underwent craniotomy for meningioma. Data were collected through individual in-depth interviews with 7 middle-aged women who underwent craniotomy. Verbatim transcripts were analyzed using Giorgi's phenomenological analysis to uncover the meaning of the illness experience of the participants. As a results, seven themes were identified: serious attack of fear in middle age, strengthening self-confidence in healing, escape from fear of death, care for my own body, two types of conflict for family harmony and disease, nurse as a healing partner, and opening the second life. Based on the results of this study, it will be possible to plan more comprehensive nursing intervention through understanding of participants' experience. Also, the main reason of fear that participants felt was lack of information about craniotomy. Therefore, the development of educational programs to provide information and knowledge about cranial surgery is suggested.

• Applied Chemistry for Engineering
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• v.28 no.4
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• pp.397-403
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• 2017

The number of patients suffering from Alzheimer's disease is increasing year after year and almost approaching 15% of the total elderly population. Although it is critical to detect the early stage of Alzheimer's disease, which is a serious illness causing cognitive deficits, various existing diagnosis methods such as MRI, PET and CSF analysis could be the burdens for patients due to their high costs and long time to diagnosis. In order to tackle some of challenging issues for such existing diagnosis methods, extensive efforts have been made on developing fast and convenient biochip sensing methodologies for the diagnosis of Alzheimer's disease with a droplet of patient biofluids (e.g., blood). In this mini-review, we highlight some of the latest biochip sensing technologies that could qualitatively and quantitatively analyze blood biomarkers used for Alzheimer's disease diagnostics and discuss briefly related research trends and future aspects.

• Korean Journal of Microbiology
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• v.50 no.4
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• pp.265-274
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• 2014

Gut microbiota is a group of microorganisms that resides in the intestine and serves many important functions in human health. Using 16S ribosomal RNA sequencing analysis, a wide variety of bacteria in human gastrointestinal tract has been identified along with intriguing findings that there is a different bacterial composition among individuals. Fecal microbiota transplantation (FMT) is a procedure of stool transplantation from healthy donors to patients suffering from various diseases. Specifically, FMT is able to alter the composition of gut microbiota of recipients and therefore could be an effective treatment for the patients with gastrointestinal diseases including recurrent Clostridium difficile infection, inflammatory bowel disease, and irritable bowel syndrome. Here we review a list of human diseases related to gut microbiota disturbance and the case studies of FMT. We also summarize medicines and diagnostic tools that are under development. Therefore, gut microbiota can be a next generation's biotherapy for promotion of health and treatment of chronic diseases.

• 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.