• 대한물리의학회지
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• 제19권3호
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• pp.21-27
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• 2024

PURPOSE: This study compared the grip strength of young adult male soldiers who had undergone military training with civilian adult males by indirectly examining the impact of military training on the grip strength and overall muscle mass. Grip strength, an essential biomarker for overall health and crucial combat abilities, was explored within the demanding conditions of military service. METHODS: The research measured the grip strength of soldiers actively serving in the military and compared it with data from healthy civilian males in their twenties to determine if a structured training regime significantly enhances grip strength more than a typical civilian lifestyle. The data were analyzed using descriptive statistics with the means and group differences assessed using a t-test (p < .05). An online survey was conducted among the military group to self-assess the changes in grip strength before and after enlistment to gauge the awareness of such changes. RESULTS: Significant differences were observed between the groups, with an observable increase in grip strength with age within the military group, suggesting that military training can positively impact muscle maintenance and enhance daily life. CONCLUSION: Further research will be needed to elucidate the effects of military physical training programs and their broader implications for military readiness and overall health.

• 한국정보통신학회논문지
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• 제23권7호
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• pp.764-770
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• 2019

본 연구에서는 "4차 산업"과 관련된 논문들의 세부 연구 주제를 파악하기 위하여 텍스트 마이닝 기법을 이용하여 논문들을 분석하였다. 이를 위하여 2016년부터 2019년까지 한국학술지인용색인(KCI)에서 "4차 산업"이라는 키워드로 논문을 검색하여 총 685편의 논문을 수집하였다. 논문 수집을 위해서는 Python 기반의 웹 스크랩핑 프로그램을 사용하였으며, 자료 분석을 위해서는 R 언어로 구현된 LDA 알고리즘 기반의 토픽 모델링 기법들을 활용하였다. 수집된 논문들에 대한 Perplexity 분석 결과, 9가지 토픽이 최적으로 결정되었고 수집된 논문들의 9가지 대표 토픽들을 Gibbs 샘플링 방법을 사용하여 추출하였다. 분석 결과, 인공지능, 빅데이터, 사물인터넷, 디지털, 네트워크 등이 상위 주요 기술들로 나타났으며, 산업, 정부, 교육 현장, 일자리 등 4차 산업과 관련한 다양한 분야에서 주요 기술들로 인한 변화에 대한 연구들이 이루어져 왔음을 확인할 수 있었다.

• 가정∙방문간호학회지
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• 제30권2호
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• pp.141-154
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• 2023

Purpose: This study aimed to explore the social perception of visiting nursing before and after coronavirus disease (COVID-19). Methods: This survey-based study used online big data for comparative analysis by classifying the keywords related to visiting nursing searched on domestic portal sites before and after COVID-19. Results: According to the results of analyzing the Intertopic Distance Map based on Latent Dirichlet Allocation in this study, four topics were extracted, two each before and after COVID-19. The first topic before the COVID-19 period was termed "the expansion of visiting nursing subjects and services visiting nursing," while the second was termed "visiting nursing," which is related to customized welfare. The first topic after the COVID-19 period was termed "the suspension and resumption of visiting nursing services," while the second was "the development of a non-face-to-face home visit healthcare system". Conclusion: The results of this study can be used as useful reference data to contribute to future medical service delivery system reform policies starting at the end of COVID-19 and the revitalization of community care for visiting nursing.

• 보건행정학회지
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• 제34권3호
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• pp.226-237
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• 2024

이 연구는 다양한 질병 간의 관계를 파악하고, 보건의료 데이터를 활용하여 질병 간의 위험, 경로, 진행패턴을 분석하는 질병 네트워크를 고찰하는 데 중점을 두고 있다. 질병 네트워크 모델을 활용하여 시간에 따른 질병의 진행 경로를 시각화하고, 기존에 발견되지 않은 질병 간의 잠재적 관계를 포착함으로써 새로운 통찰력을 제공한다. 이 연구는 그래프 이론과 네트워크 모델을 기반으로 국내·외 다양한 보건의료 데이터를 활용한 질병 네트워크 연구사례를 소개하고, 질병 네트워크를 구축하는 방법론과 활용방법을 고찰하며, 건강보험 빅데이터에서의 적용 가능성을 제시한다. 또한 질병 네트워크 연구가 가지는 한계점에 대한 논의를 통해 향후 연구의 방향성을 제시하고자 한다.

• 대한임상검사과학회지
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• 제44권4호
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• pp.167-177
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• 2012

Next-Generation Sequencing (NGS) is a term that means post-Sanger sequencing methods with high-throughput sequencing technologies. NGS parallelizes the sequencing process, producing thousands or millions of sequences at once. The latest NGS technologies use even single DNA molecule as a template and measures the DNA sequence directly via measuring electronic signals from the extension or degradation of DNA. NGS is making big impacts on biomedical research, molecular diagnosis and personalized medicine. The hospitals are rapidly adopting the use of NGS to help to patients understand treatment with sequencing data. As NGS equipments are getting smaller and affordable, many hospitals are in the process of setting up NGS platforms. In this review, the progress of NGS technology development and action mechanisms of representative NGS equipments of each generation were discussed. The key technological advances in the commercialized platforms were presented. As NGS platforms are a great concern in the healthcare area, the latest trend in the use of NGS and the prospect of NGS in the future in diagnosis and personalized medicine were also discussed.

• International journal of advanced smart convergence
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• 제8권3호
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• pp.87-94
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• 2019

IoT-based services are being released in accordance with the aging population and the demand for well-being pursuit needs. In addition to medical device companies, companies with ideas ranging from global ICT companies to startup companies are accelerating their market entry. The areas where these services are most commonly applied are health/medical, life/safety, city/energy, automotive and transportation. Furthermore, by expanding IoT technology convergence into the area of life care services, it contributes greatly to the development of service models in the public sector. It also provides an important opportunity for IoT-related companies to open up new markets. By addressing the problems of life care services that are still insufficient. We are providing opportunities to pursue the common interests of both users and workers and improve the quality of life. In order to establish IoT-based digital life care services, it is necessary to develop convergence technologies using cloud computing systems, big data analytics, medical information, and smart healthcare infrastructure.

• Journal of Preventive Medicine and Public Health
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• 제55권5호
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• pp.464-474
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• 2022

Objectives: We introduced the cohort studies included in the Korean Cohort Consortium (KCC), focusing on large-scale cohort studies established in Korea with a prolonged follow-up period. Moreover, we also provided projections of the follow-up and estimates of the sample size that would be necessary for big-data analyses based on pooling established cohort studies, including population-based genomic studies. Methods: We mainly focused on the characteristics of individual cohort studies from the KCC. We developed "PROFAN", a Shiny application for projecting the follow-up period to achieve a certain number of cases when pooling established cohort studies. As examples, we projected the follow-up periods for 5000 cases of gastric cancer, 2500 cases of prostate and breast cancer, and 500 cases of non-Hodgkin lymphoma. The sample sizes for sequencing-based analyses based on a 1:1 case-control study were also calculated. Results: The KCC consisted of 8 individual cohort studies, of which 3 were community-based and 5 were health screening-based cohorts. The population-based cohort studies were mainly organized by Korean government agencies and research institutes. The projected follow-up period was at least 10 years to achieve 5000 cases based on a cohort of 0.5 million participants. The mean of the minimum to maximum sample sizes for performing sequencing analyses was 5917-72 102. Conclusions: We propose an approach to establish a large-scale consortium based on the standardization and harmonization of existing cohort studies to obtain adequate statistical power with a sufficient sample size to analyze high-risk groups or rare cancer subtypes.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제19권2호
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• pp.51-59
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• 2013

Purpose: At the moment, a lot of poor older people live in permanent rental housing in Korea. But many rental apartments are not suitable for elderly living because most of them have many problems related to the lack of accessibility and adaptability for older people with physical and mental disabilities. So it is necessary to upgrade the old permanent rental housing for convenience of elderly living. The purpose of this paper is to construct basic data for remodeling of worn out and small rental housing block in order to realize the concept of "Aging in Place". Methods: Questionnaires and interviews about elderly living have been conducted on 104 elderly who live in Suwon Wooman permanent rental apartment block which was constructed 21 years ago. From the collected data, dining pattern, inconvenient area, small area, satisfaction level on unit area and demand for unit expansion type have been analysed in order to find out the direction for remodeling of permanent rental apartment unit. Results: The problems of existing permanent rental apartment can be summarized into improper laundry space, small dining area, inconvenient bath and so on. According to the family size, the elderly resident has the different preference about the expansion type of his resident unit. Big families usually want to enlarge their living unit though they pay for additional monthly rental fee. Implications: Lifetime home concept adopting Universal Design has to be applied to the whole residential block especially to the social rental housing. And this concept had better be expanded to Lifetime neighbor design.

• Korean Circulation Journal
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• 제53권5호
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• pp.313-327
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• 2023

Background and Objectives: Pulmonary arterial hypertension (PAH) is a rare but fatal disease. Recent advances in PAH-specific drugs have improved its outcomes, although the healthcare burden of novel therapeutics may lead to a discrepancy in outcomes between developing and developed countries. We analyzed how the epidemiology and clinical features of PAH has changed through the rapidly advancing healthcare infrastructure in South Korea. Methods: PAH was defined according to a newly devised 3-component algorithm. Using a nationwide health insurance claims database, we delineated annual trends in the prevalence, incidence, medication prescription pattern, and 5-year survival of PAH in Korea. Cumulative survival and potential predictors of mortality were also assessed among 2,151 incident PAH cases. Results: Between 2002 or 2004 and 2018, the prevalence and incidence of PAH increased 75-fold (0.4 to 29.9 per million people) and 12-fold (0.5 to 6.3 per million person-years), respectively. The proportion of patients on combination PAH-specific drug therapy has also steadily increased up to 29.0% in 2018. Among 2,151 incident PAH cases (median [interquartile range] age, 50 [37-62] years; 67.2% female), the 5-year survival rate and median survival duration were 71.8% and 13.1 years, respectively. Independent predictors of mortality were age, sex, etiology of PAH, diabetes, dyslipidemia, and chronic kidney disease. Conclusions: This nationwide study delineated that the prevalence and incidence of PAH have grown rapidly in Korea since the early 2000s. The use of combination therapy has also increased, and the 5-year survival rate of PAH in Korea was similar to those in western countries.

• Journal of information and communication convergence engineering
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• 제17권2호
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• pp.91-96
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• 2019

In this study, a system to increase the expressiveness of existing standard terminology using three-dimensional (3D) data is designed. We analyze the existing medical terminology system by searching the reference literature and perform an expert group focus survey. A human body image is generated using a 3D modeling tool. Then, the anatomical position of the human body is mapped to the 3D coordinates' identification (ID) and metadata. We define the term to represent the 3D human body position in a total of 12 categories, including semantic terminology entity and semantic disorder. The Blender and 3ds Max programs are used to create the 3D model from medical imaging data. The generated 3D human body model is expressed by the ID of the coordinate type (x, y, and z axes) based on the anatomical position and mapped to the semantic entity including the meaning. We propose a system of standard terminology enabling integration and utilization of the 3D human body model, coordinates (ID), and metadata. In the future, through cooperation with the Electronic Health Record system, we will contribute to clinical research to generate higher-quality big data.