• Journal of Advanced Navigation Technology
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• v.28 no.4
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• pp.559-565
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• 2024

Research on autonomous vehicles is being actively conducted. As autonomous vehicles emerge, there will be a transitional period in which traditional and autonomous vehicles coexist, potentially leading to a higher accident rate. Currently, when a traffic accident occurs, the fault ratio is determined according to the criteria set by the General Insurance Association of Korea. However, the time required to investigate the type of accident is substantial. Additionally, there is an increasing trend in fault ratio disputes, with requests for reconsideration even after the fault ratio has been determined. To reduce these temporal and material costs, we propose a deep learning model that automatically determines fault ratios. In this study, we aimed to determine fault ratios based on accident video through a image classification model based on ResNet-18 and video action recognition using TSN. If this model commercialized, could significantly reduce the time required to measure fault ratios. Moreover, it provides an objective metric for fault ratios that can be offered to the parties involved, potentially alleviating fault ratio disputes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.435-447
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• 2019

In order to prevent unnecessary re-admission, it is necessary to intensively manage the groups with high probability of re-admission. For this, it is necessary to develop a re-admission prediction model. Two - year discharge summary data of one university hospital were collected from 2016 to 2017 to develop a predictive model of re-admission. In this case, the re-admitted patients were defined as those who were discharged more than once during the study period. We conducted descriptive statistics and crosstab analysis to identify the characteristics of rehospitalized patients. The re-admission prediction model was developed using logistic regression, neural network, and decision tree. AUC (Area Under Curve) was used for model evaluation. The logistic regression model was selected as the final re-admission predictive model because the AUC was the best at 0.81. The main variables affecting the selected rehospitalization in the logistic regression model were Residental regions, Age, CCS, Charlson Index Score, Discharge Dept., Via ER, LOS, Operation, Sex, Total payment, and Insurance. The model developed in this study was limited to generalization because it was two years data of one hospital. It is necessary to develop a model that can collect and generalize long-term data from various hospitals in the future. Furthermore, it is necessary to develop a model that can predict the re-admission that was not planned.

• 한국노년학
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• v.39 no.2
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• pp.213-229
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• 2019

The purpose of this study was to examine various factors influencing the needs of Seoul's newly implemented outreach community services for older adults, and to suggest the direction of the outreach community health services in Seoul. A multi-level regression was conducted using data collected by face-to-face interviews from 1,000 individuals aged 65 and 70 in 17 districts, where participated in the Seoul's outreach community services. The results demonstrated that socioeconomic status (higher income and living alone), health status (having multiple chronic conditions and depression, lower health literacy), limited experience of the outreach community services, and low government trust at the individual level were associated with higher unmet need for the community outreach services. In addition, shorter participation period of the outreach services and financial independency at the district level were associated with higher unmet need for the services. The findings from this study implies the need for improving the quality of services by focusing on vulnerable groups such as individuals with lower income and worse health status. In addition, the outreach community health services may need to target individuals aged 66 to increasing efficiency of the services through utilizing results of life-cycle health checkup by the National Health Insurance Corporation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.480-488
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• 2016

This study examined the levels of ADL and IADL among elderly people who were institutionalized in long-term care facilities and determined their association with socio-demographic characteristics, health status, and health related behaviors. Interviews were performed, during the period from June 1 to July 31, 2015, to 205 elderlies received from long-term care service. As a results, the total mean score was $16.67{\pm}2.11$ for ADL (range: 6~8) and $15.13{\pm}3.79$ for IADL (range: 7~21). The selected factors associated with ADL were with or without a spouse, frequency of going out, subjective health status, and mastication ability. The factors associated with ADL were selected, such as gender, with or without a spouse, frequency of going out, subjective health status, disability of body, and amnesia. In conclusion, the level of ADL and IADL in the elderly people selected from long-term care insurance were influenced by the socio-demographic characteristics, health status and health-related behaviors.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.7
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• pp.1103-1110
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• 2013

This study was investigated the subjects' satisfaction in the therapy among the internet age. The subjects of the study were 200 women who have menses in ages from 18 to 55 among visitors of five public health centers and attendants of A church in Gwangju. The period of the study ranged from September 6 to October 10, 2010. As a study instrument, this study used a questionnaire developed based on questions from studies published by An Seung-duk(2003). This study used SPSS 17.0, for a frequency analysis, a cross-tabulation and a chi-squared test. During the analysis, 43.4% of the subjects used the complementary alternative therapy. 56.3% visited used oriental medical clinics or herbal medicine shops as places to use the therapy, 42.5% received medicine, acupuncture, moxibustion and cupping at oriental medical clinics. As expenses of the therapy, 56.3% spent less than 500,000 won a year. After the therapy, 51% answered they were satisfied with the therapy. In conclusion, it was discovered that use rate of the therapy is increasing, the subjects decided to use the therapy for themselves or through recommendation from acquaintances, and they mainly depended on reliable oriental medical clinics or folk remedies against menstrual pain, and insurance benefits for the therapy should be considered except oriental medical hospitals or clinics.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.354-360
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• 2022

Metabolic disease is a disease with a prevalence of 26% in Korean, and has three of the five states of abdominal obesity, hypertension, hunger glycemic disorder, high neutral fat, and low HDL cholesterol at the same time. This paper links the consumer panel data of the Rural Development Agency(RDA) and the medical care data of the National Health Insurance Service(NHIS) to generate a classification model that can be divided into a metabolic disease group and a control group through food consumption characteristics, and attempts to compare the differences. Many existing domestic and foreign studies related to metabolic diseases and food consumption characteristics are disease correlation studies of specific food groups and specific ingredients, and this paper is logistic considering all food groups included in the general diet. We created a classification model using regression, a decision tree-based classification model, and a classification model using XGBoost. Of the three models, the high-precision model is the XGBoost classification model, but the accuracy was not high at less than 0.7. As a future study, it is necessary to extend the observation period for food consumption in the patient group to more than 5 years and to study the metabolic disease classification model after converting the food consumed into nutritional characteristics.

• Korean Journal of Labor Studies
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• v.23 no.1
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• pp.129-164
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• 2017

This article is an exploratory study on the recent growth of short-hours part-time work in Korea. The short-hours part-time work has been rapidly growing among low-educated women over sixty, particularly among bereaved or divorced women, contrary to the expectation of the government that encouraged the part-time work by means of work-family balance for working mothers or middle-aged women who experienced career interruption. The short-hours part-time jobs are concentrated in social service industry, mostly elderly care service jobs, and their working conditions are extremely poor, mostly low-wage jobs with no social insurances except for health insurance. In this study, we discuss why the short-hours part-time work has grown so fast in Korea since the mid 2000s. Using various governmental statistics, we examine the effects of the labor demand and supply situations during the time period, the legal context that is related with the exempt clause of the labor law, and the institutional context related with the government's public job creation projects for the elderly. We suggest some public policies needed to slow down the growth of the short-hours part-time jobs and to elevate their working conditions.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.2
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• pp.87-96
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• 2023

Recently, research on predicting the treatment results of diseases using deep learning technology is also active in the medical community. However, small patient data and specific deep learning algorithms were selected and utilized, and research was conducted to show meaningful results under specific conditions. In this study, in order to generalize the research results, patients were further expanded and subdivided to derive the results of a study predicting mortality after lung cancer diagnosis for men and women in their 80s, 90s, and 100s. Using AutoML, which provides large-scale medical information and various deep learning algorithms from the Health Insurance Review and Assessment Service, five algorithms such as Decision Tree, Random Forest, Gradient Boosting, XGBoost, and Logistic Registration were created to predict mortality rates for 84 months after lung cancer diagnosis. As a result of the study, men in their 80s and 90s had a higher mortality prediction rate than women, and women in their 100s had a higher mortality prediction rate than men. And the factor that has the greatest influence on the mortality rate was analyzed as the treatment period.

• Journal of Gastric Cancer
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• v.4 no.3
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• pp.196-203
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• 2004

The Information Committee of the Korean Gastric Cancer Association sent questionnaires to 31 laparoscopic gastric surgeons about their personal experiences with laparoscopic gastric surgery from 2001 to 2003. Twenty-four surgeons responded to the questionnaires (response rate: $77.4\%$).The number of laparoscopic gastric surgeries from 2001 to 2003 was 1,130 and increased from 209 in 2001 to 593 in 2003. The number of operations for a gastric adenocarcinoma also increased from 87 cases in 2001 to 403 cases in 2003. Laparoscopic radical procedures, such as a laparoscopyassisted distal gastrectomy or total gastrectomy (LADG or LATG), have increased rapidly during this period. (55 cases in 2001, 150 cases in 2002, and 364 cases in 2003). Laparoscopic function-preserving gastrectomies were not performed until 2003, during which year one pylorus- preserving gastrectomy and six proximal gastrectomies were performed laparoscopically. A wedge resection for a gastric submucosal tumor was performed in 71 cases in 2001, 82 in 2002, and 103 in 2003. Hand-assisted laparoscopic surgery (HALS) was performed in 39 cases in 2001, 55 in 2002, and 49 in 2003. As for personal indications for a LADG, 14 surgeons performed a LADG only for a T1 lesion, and 5 surgeons extended their indications to T2N0 lesions. In the near future, laparoscopic procedures for gastric cancer will be widely adopted in Korea if the medical-insurance obstacle is overcome and the long-term survival results are verified.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.303-317
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• 2015

Although the public health centers have been initiating health education recently, it is not extending as expected and the participation of the program is low. The reason is that the office workers have few opportunities to receive health education since there are few public health centers in relation to the population. Much time is required for travel and attendance of the classes. In order to solve this problem, the aim is to increase participation in health education, improve the overall public health awareness, expand the number of health education locations to reduce medical expenses, vitalize the lifelong educational health programs, and improve the national health insurance. In order to research about the health education expansion plan for public health improvement, a study focused on men and women above age 20 who need health education. The research sample was selected through random sampling that targeted people who participated in the health programs or the health education. The period of this survey was from September 1st to September 30th, 2014. A total of 509 participants completed the survey data for the actual analysis to propose the health education expansion plan for the public health improvement.