• Journal of Oriental Neuropsychiatry
• /
• v.33 no.4
• /
• pp.361-376
• /
• 2022

Objectives: To understand experiences of daily life and Korean medicine treatment process and perspectives of caregivers caring for children with tic disorder. Methods: A semi-structured interview was conducted with caregivers of patients under 13 years who were experiencing Korean medicine treatment for tic disorder. A total of five participants were interviewed. The analysis was performed according to a four-step phenomenological method. Results: The following four components were derived from the experience of caring for children with tic disorder: general perception of tics, negative emotions caused by tics, social deprivation, and living with a child with tics. The following four components were derived from Korean medicine treatment experience for tic disorders: criteria for selecting treatment, awareness of Korean medicine, treatment experience in Korean medicine, and what needs to be improved. Conclusions: According to results of this study, caregivers caring for children with tic disorder experienced negative emotions such as frustration, guilt, and anxiety. They also experienced social deprivation such as stigma and prejudice. Korean medicine treatment can be an effective alternative for improving symptoms of tic disorders. The application of insurance benefits to Korean medicine is needed for patients and caregivers to autonomously choose treatment.

• Nutrition Research and Practice
• /
• v.16 no.6
• /
• pp.801-812
• /
• 2022

BACKGROUND/OBJECTIVES: Diet planning in childcare centers is difficult because of the required knowledge of nutrition and development as well as the high design complexity associated with large numbers of food items. Artificial intelligence (AI) is expected to provide diet-planning solutions via automatic and effective application of professional knowledge, addressing the complexity of optimal diet design. This study presents the results of the evaluation of the utility of AI-generated diets for children and provides related implications. MATERIALS/METHODS: We developed 2 AI solutions for children aged 3-5 yrs using a generative adversarial network (GAN) model and a reinforcement learning (RL) framework. After training these solutions to produce daily diet plans, experts evaluated the human- and AI-generated diets in 2 steps. RESULTS: In the evaluation of adequacy of nutrition, where experts were provided only with nutrient information and no food names, the proportion of strong positive responses to RL-generated diets was higher than that of the human- and GAN-generated diets (P < 0.001). In contrast, in terms of diet composition, the experts' responses to human-designed diets were more positive when experts were provided with food name information (i.e., composition information). CONCLUSIONS: To the best of our knowledge, this is the first study to demonstrate the development and evaluation of AI to support dietary planning for children. This study demonstrates the possibility of developing AI-assisted diet planning methods for children and highlights the importance of composition compliance in diet planning. Further integrative cooperation in the fields of nutrition, engineering, and medicine is needed to improve the suitability of our proposed AI solutions and benefit children's well-being by providing high-quality diet planning in terms of both compositional and nutritional criteria.

• The Journal of Korean Medicine
• /
• v.43 no.4
• /
• pp.102-130
• /
• 2022

Objectives: The persistence and unpredictability of coronavirus disease (COVID-19) and new measures to prevent direct medical intervention (e.g., social distancing and quarantine) have induced various psychological symptoms and disorders that require self-treatment approaches and integrative treatment interventions. To address these issues, the Korean Medicine Mental Health (KMMH) center developed a field manual by reviewing previous literature and preexisting manuals. Methods: The working group of the KMMH center conducted a keyword search in PubMed in June 2021 using "COVID-19" and "SARS-CoV-2". Review articles were examined using the following filters: "review," "systematic review," and "meta-analysis." We conducted a narrative review of the retrieved articles and extracted content relevant to previous manuals. We then created a treatment algorithm and recommendations by referring to the results of the review. Results: During the initial assessment, subjective symptom severity was measured using a numerical rating scale, and patients were classified as low- or moderate-high risk. Moderate-high-risk patients should be classified as having either a psychiatric emergency or significant psychiatric condition. The developed manual presents appropriate psychological support for each group based on the following dominant symptoms: tension, anxiety-dominant, anger-dominant, depression-dominant, and somatization. Conclusions: We identified the characteristics of mental health problems during the COVID-19 pandemic and developed a clinical mental health support manual in the field of Korean medicine. When symptoms meet the diagnostic criteria for a mental disorder, doctors of Korean medicine can treat the patients according to the manual for the corresponding disorder.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.3
• /
• pp.229-242
• /
• 2018

The effects of orally administered fermented porcine placenta (FPP) and its major dipeptides, L-Leucyl-Glycine (Leu-Gly) and Glycyl-L-Leucine (Gly-Leu), on UVB-induced wrinkle formation of the skin in hairless mice was studied. Treatment with FPP, Leu-Gly or Gly-Leu increased type I procollagen synthesis and decreased MMP-1 (matrix metalloproteinase-1) in human dermal fibroblast cells (HDF-N). Hairless mice were also exposed UVB irradiation three times a week and fermented porcine placenta extract (FPP), Leu-Gly and Gly-Leu was administered once a day for eight weeks. Daily intake of FPP, Leu-Gly and Gly-Leu for eight weeks decreased wrinkles, erythema and thickness of the skin and increased skin hydration and synthesis of collagen relative to a UVB-control. Moreover, FPP, Leu-Gly or Gly-Leu intake decreased the expression of MMP-3 and MMP-13 mRNA levels and inhibited activation of MMP-2 and MMP-9 induced by UVB irradiation in hairless mice skin. These results suggest that major dipeptides of the placenta, Leu-Gly and Gly-Leu have the potential for use as a functional food ingredient with anti-wrinkling properties.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.7
• /
• pp.136-145
• /
• 2020

This study analyzes how the satisfaction of nursing students with their chosen major affected the outcome of their future engagement in the major. The survey included 127 nursing students at two nursing colleges, each located in Busan and Gyeongsangbuk-do, and results were analyzed using SPSS 22.0. Our results indicate that scores achieved for level of satisfaction in the major and engagement in the major were both higher than the mid value on a 5 point Likert Scale, being 3.91 and 3.61, respectively. Moreover, satisfaction with school life resulted in good health of the student. The student was self-motivated when applying to enter the school when level of satisfaction and engagement in the major was high. Engagement in the major was also predicted to be affected by other factors (accounting for 26%), in the following order: being satisfied with school life, self-motivated when applying to the school, and having a high average grade. Based on the results of analysis obtained by adding sub-variables pertaining to major satisfaction, 65.4% factors predicted to have an effect were general satisfaction as well curricular and relational satisfaction.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.7
• /
• pp.84-91
• /
• 2017

This study was performed using Somatom Definition Flash (Siemens, Enlarge, Germany) and GE 64-MDCT (Discovery 750 HD, GE HEALTHCARE, Milwaukee, USA.) using high-density medical materials that (are indispensable to?) computed tomography. We analyzed quantitatively the rate of change of the CT number of the CT reconstruction images by means of the IMAR and MAR algorithms using the phantom images acquired after scanning and previously captured raw data images. As a result, it was shown that the IMAR and MAR algorithms provided if ferent phantom images in the case of all medical high-density materials (p <0.05). The black streak artifacts were analyzed using the MAR and IMAR algorithms to determine if they corresponded to stainless steel materials (p>0.05). Also, it was found that the application of the IMAR algorithm affects the attenuation deviation, because there is a change in the image CT number compared to that before. The results suggest that, in the future, after the implant procedure, it would be useful to observe the surgical site and surrounding tissues during follow-up CT scans.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.1
• /
• pp.341-350
• /
• 2011

This study aims at providing basic data on organ donation by analyzing factors of influencing toward intention to organ donation and further at improving people's consciousness on organ donation, subject to citizens of Busan City. The data was collected for 47 days from 14 July to 31 August, 2009. Among a total of 2200 cases of the questionaries, only 2042 cases were used. For data analysis, SPSS 17.0 was used, and for the specific analysis method frequency analysis to understand general characteristics of the participants. In addition, examination on T-test and ANOVA analysis were conducted after analyzing the factors for participants' consciousness on organ donation, and logistic regression analysis for understanding of relations between participants' will to donate organs and general characteristics. The results of this study are summarized as follows; First, among the participants, those who have heard about organ donations were 71.6%. Second, the factors that general characteristics influence on the attitudes towards organ donation include gender, chronic diseases or incurable diseases in the respondents or their family, religion, acceptive attitude factor, exclusive attitude factor and positive attitude factor towards organ donation. Based on the results, in order to raise people's consciousness on organ donation and form social sympathy, more than anything else, public mass media like broadcasting is important. In addition, as organ donation centers and related institutions prepare nationwide events, we should endeavor to prepare the opportunities in various ways to converse people's consciousness on organ donation and further put organ donation into practice.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.3
• /
• pp.1740-1748
• /
• 2014

In this paper, we propose an RBAC based personalized health care service platform in order to provide smart management of personal health record using smart devices. It helps to guide healthful service and provide useful information according to one's individual health record. Personalized health care services platform supports a healthy lifestyle by measuring personal health information in a hospital clinical, imaging, and drug data, as well as that can be obtained from smart devices. Everyone can enter his health related data in everyday life such as food, sleeping time, mood, movement and exercise so that one can manage his personal health information of modern smart features. In addition, if necessary, personal health information can be provided to the hospital information system and staff with the consent of the individual. It can be contributed to simplify the complex process for remote medical. The proposed platform, which applies role based access control model to protect security and privacy, supports a smart health care services for users by providing personalized health care services through the smart applications.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.12
• /
• pp.581-588
• /
• 2017

This study was conducted to determine which factors would predict metabolic syndrome (MetS) perception and exercise by applying a machine learning classifier, or Extreme Gradient Boosting algorithm (XGBoost) from July 2014 to December 2015. Data were obtained from the Korean Community Health Survey (KCHS), representing different community-dwelling Korean adults 19 years and older, from 2009 to 2013. The dataset includes 370,430 adults. Outcomes were categorized as follows based on the perception of MetS and physical activity (PA): Stage 1 (no perception, no PA), Stage 2 (perception, no PA), and Stage 3 (perception, PA). Features common to all questionnaires for the last 5 years were selected for modeling. Overall, there were 161 features, categorical except for age and the visual analogue scale (EQ-VAS). We used the Extreme Boosting algorithm in R programming for a model to predict factors and achieved prediction accuracy in 0.735 submissions. The top 10 predictive factors in Stage 3 were: age, education level, attempt to control weight, EQ mobility, nutrition label checks, private health insurance, EQ-5D usual activities, anti-smoking advertising, EQ-VAS, education in health centers for diabetes, and dental care. In conclusion, the results showed that XGBoost can be used to identify factors influencing disease prevention and management using healthcare bigdata.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.6
• /
• pp.127-136
• /
• 2020

This study investigated the correlation between the participation in health-related decisions and self-care competency and the factors influencing self-care competence of patients with chronic disease. The participants were 518 patients with chronic illnesses who were admitted to a public health center. Using a structured-questionnaire, the data was collected from January 1, 2019 to 31, 2019. The data was analyzed using descriptive statistics, t-tests, ANOVA, Scheffé tests, Pearson correlation coefficients and multiple linear regression with the IBM SPSS/WIN 22.0 program. The mean scores on the participation in health-related decisions and self-care competency were 3.62±0.20 and 4.57±0.34, respectively. The main variables that distinguish significant differences between participation in healthcare decisions and self-care capabilities are gender, age, education level, diagnosis, and subjective health status. Self-care competency was positively correlated with the participation in health-related decisions (r=.66, p=.043). Factors influencing self-care competence were education (β=-2.23, p<.001), health concerns (β=0.14, p=.003), subjective health statues (β=2.57, p=.011), and age (β=-0.36, p=.048). The input variables explained .56 of self-care competence. The results of the study indicate that approaches focusing on enhancing the participation in health-related decisions could potentially improve self-care competency of patients with chronic disease.