• 한국노년학
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• v.34 no.2
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• pp.369-386
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• 2014

The purpose of this study was to develop the classification of home-based long-term care activities and to test its validity. In this study, the taxonomy of long-term care activities was structured according to the service domain and process. Two expert groups participated in making a draft of the taxonomy that was composed of 7 service domains, 22 care needs, 22 service objectives, and 114 activities. Reliability and validity of the taxonomy was tested in a sample of 152 elderly subjects who used the home-based long-term care services. Based on the factor analysis of 114 activities, 21 factors were extracted from 114 activities. Internal consistency of the factors was high. Content validity was confirmed by the CVI. Long-term care insurance grade was used to assess the criterion validity. Among 21 care needs, 12 cares needs were significantly different from their grade. The classification of home-based long-term care activities demonstrated reliability and validity. In conclusion, the use of this classification is recommended while communicating with the elderly subjects, service providers, and the 3rd party payers.

• 한국노년학
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• v.39 no.2
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• pp.305-323
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• 2019

In recognition of the increasing social attention paid to the notion of how to die well, this study explored what it is that middle-aged and older Koreans think of as "dying well." Specifically, it was aimed at classifying the perceptions people middle-aged and older have regarding dying well. To this end, we used data from the National Survey on Well-Dying, which was conducted in 2018 by the Korea Institute for Health and Social Affairs, and employed Latent Class Analysis. The demographic characteristics of each of the classified subgroups were identified through technical statistics. The types identified were multilayered depending on the imminence of death, perspectives of the last stages before dying, and the meaning of death in the context of social relationships. These types differed according to gender and subjective health conditions. Based on our findings in this study, we put forward policy suggestions about awareness improvement of personal and social levels, promoting on comprehensive death preparation, providing a system to reduce the cost of medical and nursing expense at the end of one's life, promoting of the right to self-determination regarding death, raising social attention to groups that are least prepared for dying well.

• Korean Journal of Social Welfare Studies
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• v.40 no.1
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• pp.235-260
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• 2009

This study aims to analyze consumption inequality of Korean elderly households. The justification for analyzing consumption inequality during old age could be summarized as follows. First, due to the rapid growth of elderly population, the intra generational inequality of older people will bring greater consequences to the society in the coming years. Second, inequality is more actualized during old age when income stops playing a major role and the everyday lives are based mostly on consumption activities. For analysis, this study used the 2nd, 5th, 7th and 9th wave of 『Korea Labor and Income Panel Study』. The findings are as follows. First, total consumption inequality of elderly households is gradually decreasing after the economic crisis. Also, the gini coefficient of consumption items representing modern consumption culture, such as expenditures on eating out and car maintenance is decreasing. However, the inequality contribution rate of such items is continually rising, indicating that whereas the elderly households in general are being assimilated to the mainstream consumption culture, the disparity between classes is continually expanding. Second, gini coefficient and inequality contribution rate of the essentials such as food and housing has decreased indicating that basic livelihoods in general has risen. Third, the inequality of education expenditure is increasing after the year 2000 which implies that the problem of education inequality in general might have an effect on elderly households.

• Korean Journal of Culture and Social Issue
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• v.16 no.3
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• pp.241-265
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• 2010

This study reviewed the present state and differences of rehabilitation programs of the gambling addiction by comparing with other psychiatric disorder(including psychotic disability and alcohol addiction). This study also intended to suggest necessities, meanings and inherent fields of the rehabilitation in gambling addiction. First of all, the government and a few gambling industries run clinic centers for gamblers and their families, but have been lacked rehabilitation services for social comeback and adaptation or devaluated rehabilitation services than therapies. Gambling addict didn't have impairments of the cognitive function and their daily abilities was better than any other psychiatric disorders. But Damage of social role or function of gambling addiction was severe. And it is caused by nonadaptive nature of gambling behavior, personality/emotional change through gambling addiction process, and previous personality problem etc. There are many severe failure of social role and its attendant bankrupcy, family's problems and social poverty in gambling addiction, Therefore, important fields in the rehabilitation of gambling addiction should be services for basic social comeback support service, credit recovery support, monetary management, support of rehabilitation of family and vocational rehabilitation. Finally, the significance and critical points of the current study has been discussed as well.

• Journal of the Korean Society of Radiology
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• v.17 no.5
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• pp.679-684
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• 2023

Venous puncture is widely used to obtain blood samples for pathological examination. Because the invasive venipuncture method using a needle is repeatedly performed, the pain suffered by the patient increases, so our research team pre-developed a miniaturized near-infrared (NIR) imaging system in advance. To improve the image quality of the acquired NIR images, this study aims to model the non-local means (NLM) algorithm, which is well known to be efficient in noise reduction, and analyze its applicability in the system. The developed NIR imaging system is based on the principle that infrared rays pass through dichroic and long-pass filters and are detected by a CMOS sensor module. The proposed NLM algorithm is modeled based on the principle of replacing the pixel from which noise is to be removed with a value that reflects the distances between surrounding pixels. After acquiring an NIR image with a central wavelength of 850 nm, the NLM algorithm was applied to segment the final vein area through histogram equalization. As a result, the coefficient of variation of the NIR image of the vein using the NLM algorithm was 0.247 on average, which was an excellent result compared to conventional filtering methods. In addition, the dice similarity coefficient value of the NLM algorithm was improved by 62.91 and 9.40%, respectively, compared to the median filter and total variation methods. In conclusion, we demonstrated that the NLM algorithm can acquire accurate segmentation of veins acquired with a NIR imaging system.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.135-144
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• 2024

In this study, we propose an automatic classification model for quantitative multidimensional analysis based on facet theory to understand public opinions and demands on major issues through big data analysis. Civil complaints, as a form of public feedback, are generated by various individuals on multiple topics repeatedly and continuously in real-time, which can be challenging for officials to read and analyze efficiently. Specifically, our research introduces a new classification framework that utilizes facet theory and political analysis models to analyze the characteristics of citizen complaints and apply them to the policy-making process. Furthermore, to reduce administrative tasks related to complaint analysis and processing and to facilitate citizen policy participation, we employ deep learning to automatically extract and classify attributes based on the facet analysis framework. The results of this study are expected to provide important insights into understanding and analyzing the characteristics of big data related to citizen complaints, which can pave the way for future research in various fields beyond the public sector, such as education, industry, and healthcare, for quantifying unstructured data and utilizing multidimensional analysis. In practical terms, improving the processing system for large-scale electronic complaints and automation through deep learning can enhance the efficiency and responsiveness of complaint handling, and this approach can also be applied to text data processing in other fields.

• Smart Media Journal
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• v.12 no.11
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• pp.175-184
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• 2023

The elderly in rural areas are faced with the dilemma of poor community environment, weak social communication ability and insufficient pension knowledge reserve. In addition, due to the serious shortage of social security facilities in rural areas and medical resources, the elderly are struggling, and the suicide rate is far higher than that in urban areas. In order to make the elderly have a comfortable pension environment and face the increasingly serious aging problem with a positive attitude, this paper takes the community environment of the Baima Tibetan elderly in Tielou Township, Gansu Province as the research object of aging transformation. First of all, literature data were used to carry out research on the aging transformation in rural areas. On the basis of sorting out previous research topics, ERG theory was determined as the guide. Secondly, the research methods of on-site investigation, interview and other research methods are adopted to investigate the number of left-behind elderly people in this area, and classify them according to the national standards. At the same time, the image of the current situation of the community environment of the elderly. Finally, combined with the ERG theory, the transformation design of the elderly living environment is implemented, mainly from the three aspects of survival, mutual relationship and growth.

• Journal of the Korean Society of Radiology
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• v.85 no.1
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• pp.36-53
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• 2024

As the number of spinal surgeries being performed expands, the number of medical imaging procedures such as radiography, CT, and MRI is also increasing, and the importance of their interpretation is becoming more significant. Herein, we present the radiological findings of a variety of complications that can occur after spinal surgery and discuss how effectively and accurately they can be diagnosed through imaging. In particular, this study details the characteristic imaging findings specific to the early and long-term postoperative periods. Early complications of spinal surgery include improper placement of surgical instruments (instrument malpositioning), seromas, hematomas, pseudomeningoceles, and infections in the region surrounding the surgical site. Conversely, long-term complications may include osteolysis around surgical instruments, failure of fusion, adjacent segment disease, and the formation of epidural fibrosis or scar tissue. A precise understanding of the imaging assessments related to complications arising after spinal surgery is crucial to ensure timely and accurate diagnosis, which is necessary to achieve effective treatment.

• The Journal of Bigdata
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• v.8 no.2
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• pp.125-131
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• 2023

Globally, drug side effects rank among the top causes of death. To effectively respond to these adverse drug reactions, a shift towards an active real-time monitoring system, along with the standardization and quality improvement of data, is necessary. Integrating individual institutional data and utilizing large-scale data to enhance the accuracy of drug side effect predictions is critical. However, data sharing between institutions poses privacy concerns and involves varying data standards. To address this issue, our research adopts a federated learning approach, where data is not shared directly in compliance with privacy regulations, but rather the results of the model's learning are shared. We employ the Common Data Model (CDM) to standardize different data formats, ensuring accuracy and consistency of data. Additionally, we propose a drug monitoring system that enhances security and scalability management through a cloud-based federated learning environment. This system allows for effective monitoring and prediction of drug side effects while protecting the privacy of data shared between hospitals. The goal is to reduce mortality due to drug side effects and cut medical costs, exploring various technical approaches and methodologies to achieve this.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.50 no.3
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• pp.239-250
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• 2024

In this study, we investigated the skin safety, antioxidant, moisturizing, and anti-inflammatory effects of a composite extract of Prunus mume flower, Lonicera japonica flower, Chrysanthemum indicum flower, and Phyllostachys bambusoides (Royal TheraTea Guard^TM, RTG), which has been used as an internal medicine in the royal medical treatment for preventing skin damage caused by external environmental factors. In a cytotoxicity test on HaCaT cells, RTG complex extract showed no change in cell viability at concentrations of 0.125, 0.25, 0.5, and 1%, and a skin irritation index of 0.00 in a human patch test, confirming that it is non-irritating to the skin. The antioxidant effects was confirmed by the presence of 497.83 ㎍ GAE/g of polyphenols and increased DPPH radical scavenging activity, with a significant increase in catalase activity in the stratum corneum, showing potential as an antioxidant that protects cells from oxidative stress. The anti-inflammatory effects was observed through reduced erythema in skin stimulated by tape stripping and treated with fine dust in keratinocytes. The moisturizing effects was shown by increased expression of hyaluronan synthase (HAS)2, 3 and keratin1 in keratinocytes treated with fine dust compared to the control group, as well as increased skin moisture content and decreased skin roughness. These results suggest RTG can be used as a cosmetic ingredient to prevent skin damage caused by external environmental factors.