• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.183-190
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• 2021

The purpose of this study was to determine the change trend of emergency department visits among elderly patients with chronic diseases. Using the National Emergency Department Information System data, from January 1, 2014 to December 31, 2019, the selected patient data were evaluated for the emergency department discharge main diagnosis codes for eight chronic diseases. The incidence of elderly chronic diseases, emergency department visits, and admission rates were analyzed. Since 2014, there has been a consistent increase in the number of elderly patients visiting the emergency department, especially among those aged over 85 years. The number of emergency department visits among the elderly chronically ill patients also increased, with a significant increase in ischemic heart disease and arthrosis cases. Furthermore, there was a significant difference in the number of chronically ill patients in each year from 2014-2019 (P<0.001). With respect to the trend of admission rates to the emergency department by chronic disease, most diseases showed an increasing trend (P<0.001). however, hyperlipidemia showed a continuous decreasing trend in all age groups since 2014 (P<0.001). Among the elderly chronically ill patients, a greater increase in the admission rate following emergency department visits was noted in those over 85 years of age, with a significant difference in all diseases, except for hyperlipidemia, hypertension, and tuberculosis (P<0.001). As the aging population grows, the emergency department admission rates among the elderly chronically ill patients will rise rapidly. This could create issues with respect to the use and consumption of emergency medical resources. Hence, it is necessary to manage chronic diseases effectively in the elderly.

• The Journal of Korean Academy of Prosthodontics
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• v.60 no.3
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• pp.239-245
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• 2022

Purpose. The purpose of this study was to analyze the frequency and duration of adjustments after delivery of complete denture according to age, sex, arch with complete denture, insurance coverage of a denture, type of antagonist, the experience of wearing denture, the period of edentulism, and the type of denture base. Materials and methods. For 5 years, medical records of patients aged 65 or older who had treated full dentures were assessed for the frequency and duration of follow-up visits after complete denture delivery. Statistical analysis was performed at the 5% level of significance to analyze the correlation between the frequency and duration of follow-up according to sex, insurance coverage, arch with the complete denture, type of denture base, type of antagonist, experience of wearing a denture, age, and healing period. Results. 247 complete dentures were included in this study. The median frequency of follow-up visits was 3, and the median duration of follow-up was 36 days. Lower dentures had significantly higher frequency of follow-up visits than upper dentures (P = .036). According to the type of antagonist, dentures opposing a complete denture had a significantly higher frequency of follow-up visits than dentures opposing a removable partial denture (P = .016). There was no statistically significant difference in the frequency and duration of adjustments after delivery of complete denture by age, sex, insurance coverage, healing period, the experience of wearing a denture, and type of denture base. Conclusion. Within the limitations of the present study, lower complete dentures or dentures opposing a complete denture had an increased frequency of follow-up visits.

• Journal of the korean academy of Pediatric Dentistry
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• v.49 no.2
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• pp.188-196
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• 2022

The purpose of this study was to investigate pediatric emergency department visits patterns and characteristics of children and adolescents under the age of 20 in South Korea from 2002 to 2015 due to dental conditions. This study used a stratified sample of approximately 1 million people from the Health Insurance Review and Assessment Service Database. The age, region, household income, and treatment cost were included for the patient characteristic analysis. Pediatric patients were compared to the adult group (over 20 years old). In children and adolescents, the rate of emergency department visits due to dental conditions was higher for traumatic conditions than for non-traumatic conditions. Children and adolescents with higher household income visited the emergency department more often than those with lower household income. The region with the highest number of children and adolescents visiting the emergency department for dental conditions was Busan (per 100,000 population). Although this study could not confirm the annual trend of children and adolescents' dental emergency visits due to the sample size limitation, the characteristics of children and adolescents' dental emergency visits were compared with those of adults using a stratified sample.

• ICROS
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• v.7 no.2
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• pp.9-14
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• 2001

• The Korean Nurse
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• v.12 no.5 s.67
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• pp.32-33
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• 1973

• Explosives and Blasting
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• v.13 no.1
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• pp.92-99
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• 1995

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.4
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• pp.571-582
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• 2000

The purposes of this study were to segment department store customers based on patronage orientations of service facilities in a department store and to develop a profile of each segment using store visit behaviors, clothing purchase behaviors and demographics. A total of 453 responses collected from an on-site questionnaire survey to female department store customers was analyzed. Cluster analysis on patronage orientations of department store service facilities identified four groups including: Active patrons(27.3%); Comparison patrons(27.6%); Convenience seekers(27.3%); and Minimum patrons(17.8%). ANOVA and $\chi$$^2$ analyses revealed significant differences among the four groups on store visit behaviors(the extent of store visits and the extent of service facility visits), clothing purchase behaviors(6 store choice criteria and the extent of clothing purchase), and 5 demographic characteristics. The study developed a profile of each segment and provided marketing implications.

• Health Policy and Management
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• v.27 no.1
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• pp.30-38
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• 2017

Background: This study aims to analyze the behavioral changes of healthcare providers and influencing factors after the reviewer unification of auto insurance medical benefit claims by an independent review agency. Methods: The comparison data were collected from the second half of 2013 and the same period of 2014. The key indicators are the number of admission days, the number of outpatient visits, inpatient ratio, inpatient medical expenses, and outpatient medical expenses. Results: Four indicators (number of admission days, number of outpatient visits, inpatient ratio, and outpatient medical expenses) showed statistically significant drops, while one indicator (inpatient medical expenses) showed no significant change. Conclusion: The reviewer unification of auto insurance medical benefit claims by an independent review agency showed significant reduction in cost and patient days.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.3
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• pp.49-72
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• 2013

This study analyzes the effect of A university's institutional repository(A-IR) which performs as a gateway of university research. This research presents A-IR's operational policy and usage analyses which consist of visits, pageviews, demographics and behaviors of visitors, frequency of visits and traffic sources. On the basis of this analyses, this research found the correlations between usage of IR and citations of research papers.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.1
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• pp.88-93
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• 2005

Web usage mining is a research field for searching potentially useful and valuable information from web log file. Web log file is a simple list of pages that users refer. Therefore, it is not easy to analyze user's current interest field from web log file. This paper presents web usage mining method for finding users' current interest based on fuzzy categories. We consider not only how many times a user visits pages but also when he visits. We describe a user's current interest with a fuzzy interest degree to categories. Based on fuzzy categories and fuzzy interest degrees, we also propose a method to cluster users according to their interests for user modeling. For user clustering, we define a category vector space. Experiments show that our method properly reflects the time factor of users' web visiting as well as the users' visit number.