• Korea Journal of Hospital Management
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• v.22 no.4
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• pp.33-49
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• 2017

Background: Health care utilizations and costs of the patients with degenerative lumbar spine disease in Korea increased dramatically. We analyzed whether hospital market competition is associated with charges and length of stay for patients with degenerative lumbar spine disease. Methods: We used Medical claims data of 2002 and 2010 from the nationwide representative sample of National Health Insurance Service of Korea. The study subjects were inpatients with degenerative lumbar spine disease (N=24,768) in 2002 and 2010. We employed a multilevel linear mixed model that included patient- and hospital-level variables in hierarchical data. Results: Higher hospital competition was associated with lower charges (${\beta}=57.5$, p<.0001 in 2002; ${\beta}=353.7$, p<.0001 in 2010) and shorter length of stay (${\beta}=0.3$, p<.0001 in 2002; ${\beta}=0.9$, p<.0001 in 2010) in both 2002 and 2010. Compared to 2002, the magnitude of such association became greater in 2010. However, subgroup analyses show that the influence of competition on charges and length of stay differed by hospital size. Conclusions: This study showed that hospital market structure (e.g., hospital competition) affects hospital efficiency (i.e., hospital charges and length of stay). It is necessary to continue to monitor how changing market structure influences hospital outcomes, including more detailed outcomes such as patient satisfaction.

• The KIPS Transactions:PartB
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• v.12B no.7 s.103
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• pp.811-822
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• 2005

Automated text categorization is to classify free text documents into predefined categories automatically and whose main goals is to reduce considerable manual process required to the task. The researches to improving the text categorization performance(efficiency) in recent years, focused on enhancing existing classification models and algorithms itself, but, whose range had been limited by feature based statistical methodology. In this paper, we propose RTPost system of different style from i.ny traditional method, which takes fault tolerant system approach and data mining strategy. The 2 important parts of RTPost system are reinforcement training and post-processing part. First, the main point of training method deals with the problem of defining category to be classified before selecting training sample documents. And post-processing method deals with the problem of assigning category, not performance of classification algorithms. In experiments, we applied our system to documents getting low classification accuracy which were laid on a decision boundary nearby. Through the experiments, we shows that our system has high accuracy and stability in actual conditions. It wholly did not depend on some variables which are important influence to classification power such as number of training documents, selection problem and performance of classification algorithms. In addition, we can expect self learning effect which decrease the training cost and increase the training power with employing active learning advantage.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.577-583
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• 2020

This study analyzed the effect of career preparation behavior of female college graduates on their job satisfaction. The results of this study are as follows: First, the relationship between job satisfaction and career preparation behavior and a regression analysis of job satisfaction were all examined. This study used the original data from the Korea Employment Information Service for '2012 College Graduates' Occupation Route Survey'. The subjects of this study were 1,569 women in the science and engineering fields (649 engineering graduates, and 920 science graduates). The data was analyzed by frequency analysis, independent sample t tests, correlation analysis, and hierarchical multiple regression analysis using SPSS WIN 19.0. As a result, women with 4 years of college have higher job stability and job satisfaction than college students, but the reasons for major selection, university type, college location, and department. The results of this study are as follows. First, the effect of the variables on career satisfaction and job satisfaction was not statistically significant. This suggests that the type of college does not have a significant effect on job satisfaction if the university systematically prepares people for a career and the university suits a person's aptitude.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.660-670
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• 2016

This cross-sectional descriptive investigation attempted to identify the relationship among the symptoms, spiritual well-being, and depression experienced by patients undergoing hemodialysis. Data were collected from 146 patients at 6 hemodialysis clinics from October 15th, 2014 to January 15th, 2015. The Dialysis Symptom Index (DSI) was used to measure symptom experience, spiritual well-being was measured using the Spiritual Well-being Scale, and depression was assessed using the Center for Epidemiologic Studies Depression Scale (CES-D). The data were analyzed using ANOVA, the t-test, Scheffe's test, Pearson correlation, and hierarchical regression analysis. The mean score of the symptom experience was 26.43 (range: 0~85), the mean spiritual well-being score was 47.79 (range: 20~80), and the mean depression score was 10.56 (range: 0~35). It was found that greater existential well-being leads to lower depression (r=-.23, p=.004) and symptom experience (r=-.17, p=.045). Greater physical (B=.09) and emotional (B=.64) symptom experience leads to higher depression and the explanatory power of these factors was 52.1% (F=18.54, p<.001). Therefore, a comprehensive nursing intervention that can help reduce the symptom experience and increase the existential well-being in hemodialysis patients is needed to reduce their depression.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.260-268
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• 2016

The objective of this study was to investigate the relationship among the variables and effects of depression and physical activity on fatigue in the elderly with chronic disease. A descriptive research design was employed in this study. In total, 500 elderly patients diagnosed with chronic disease were selected from 3 medical centers for the study. The measurements were used to examine their general characteristics, fatigue, depression, and physical activity. To analyze the data, statistical analyses, including ANOVA, t-test, Scheffe's test, Pearson's correlation coefficient, and hierarchical regression analysis, were conducted for the analysis of the data. The results indicated that the age, gender, and educational level in the first step model explained 6% of the effect on fatigue among the elderly with chronic disease. In addition, depression and physical activity in the second step model explained 16% of the effect on fatigue. These findings demonstrate the significance of (considering) depression and physical activity related to care plans when developing health-programs for decreasing fatigue and planning intervention strategies.

• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.965-976
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• 2015

Determining relevant variables for a regression model is important in regression analysis. Recently, a variable selection methods using a penalized likelihood with various penalty functions (e.g. LASSO and SCAD) have been widely studied in simple statistical models such as linear models and generalized linear models. The advantage of these methods is that they select important variables and estimate regression coefficients, simultaneously; therefore, they delete insignificant variables by estimating their coefficients as zero. We study how to select proper variables based on penalized hierarchical likelihood (HL) in semi-parametric frailty models that allow three penalty functions, LASSO, SCAD and HL. For the variable selection we develop a new function in the "frailtyHL" R package. Our methods are illustrated with breast cancer survival data from the Medical Center at Chonnam National University in Korea. We compare the results from three variable-selection methods and discuss advantages and disadvantages.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.685-695
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• 2016

This study suggests different improvement practices of adolescents' multicultural acceptability to compare the factors influencing multicultural acceptability with elementary and middle school students. The data used in this study come from the Korean Child and Youth Panel Study(KCYPS) of the National Youth Policy Institute(NYPI) comprising 4,092 responses from 5th grade elementary school students and 4th grade(middle school 2nd grade) of elementary school students. The study data were subjected to hierarchical regression analysis to give the following findings. First, Levels of Multicultural Acceptability were significantly different. Second, factors influencing multicultural acceptability for elementary school students and middle school students were different. Common factors were mother's education level, life's satisfaction, peer relationship, teacher relationship, and spirit of community. Factors for elementary school students's multicultural acceptability were subjective academic achievement, community awareness, experiences of cultural activity, and overseas visiting experiences. The factor for middle school students's multicultural acceptability was family/group travel experiences. Our findings highlight the importance of programs and education that are suitable for children's developmental level. Such peer group programs need to be offered for middle school students to achieve spirit of community and educational group program and various extracurricular activities to achieve community awareness and develop a spirit of community for elementary school students.

• Anxiety and mood
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• v.6 no.1
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• pp.17-23
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• 2010

Objective : This study compared the psychological stresses of depressed patients' families with those of schizophrenic patients' families. We investigated the influence of depressive patients' clinical features and their families' demographic characteristics on the families' depressive symptoms and stresses. Methods : Participants were 23 family members of depressed patients and 20 family members of schizophrenic patients. We measured the patients' clinical features (duration of illness, number of previous hospitalizations, and satisfaction with medication), and each family member's socioeconomic status and psychological characteristics (depressive mood, anxiety, family stress, and stress response), analyzing the data via independent t-test, chi-square test, and correlation and hierarchical multiple regression analyses. Results : The depressed patients' average clinical global impression (CGI) was significantly higher than that of the schizophrenic patients. The depressed patients' family members showed stress responses significantly higher than those of schizophrenic patients' family members. Furthermore, in depressed patients, frequency of hospitalization was positively correlated with family members' stat anxiety. For both patient types, family stress was positively correlated with the patient's severity of illness and the family's state anxiety, trait anxiety, and stress response ; socioeconomic status was positively correlated with the family's depressive symptoms ; the family's state anxiety positively correlated with the family's trait anxiety and stress response ; and the family's trait anxiety positively correlated with the family's stress response. Socioeconomic status predicted the family's depressive symptoms, and socioeconomic, illness severity and stress response predicted family stress. Conclusion : These findings suggest that both depressed patients' families and schizophrenic patients' families suffer from psychological stress. The study data also have important clinical implications, in that families of depressed patients need psychiatric intervention, as well as the patients themselves. In particular, family intervention should focus on psycho-education and stress coping strategies.

• Korean Journal of Remote Sensing
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• v.23 no.4
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• pp.297-309
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• 2007

The first Korean geostationary weather satellite, Communications, Oceanography and Meteorology Satellite (COMS) will be launched in 2008. The ground station for COMS needs to perform geometric correction to improve accuracy of satellite image data and to broadcast geometrically corrected images to users within 30 minutes after image acquisition. For such a requirement, we developed automated and fast geometric correction techniques. For this, we generated control points automatically by matching images against coastline data and by applying a robust estimation called RANSAC. We used GSHHS (Global Self-consistent Hierarchical High-resolution Shoreline) shoreline database to construct 211 landmark chips. We detected clouds within the images and applied matching to cloud-free sub images. When matching visible channels, we selected sub images located in day-time. We tested the algorithm with GOES-9 images. Control points were generated by matching channel 1 and channel 2 images of GOES against the 211 landmark chips. The RANSAC correctly removed outliers from being selected as control points. The accuracy of sensor models established using the automated control points were in the range of $1{\sim}2$ pixels. Geometric correction was performed and the performance was visually inspected by projecting coastline onto the geometrically corrected images. The total processing time for matching, RANSAC and geometric correction was around 4 minutes.

• Korean Journal of Social Welfare Studies
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• v.44 no.1
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• pp.135-164
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• 2013

The purpose of this research is to examine the effects of family social capital and community social capital on how successfully children adapt to school. Utilizing the second year data from the 1st year of middle school panel found in the 2010 Korea Children and Youth Panel Survey, descriptive statistical analysis, correlation analysis, and hierarchical linear model analysis were conducted successively on 2,056 second-year middle school students living in 93 communities. The data produced was used to determine what degree of influence family social capital and community social capital exert on the ability of children to successfully adapt to school. First, 6.1% of the variables relating to school adaptation were explained by differences among communities, and the remaining 93.3% were explained by differences among individuals. Second, the examination of the effects of family social capital showed that students who experienced lower rates of neglect also experienced less abuse, had parents who were more interested in and better informed about their lives, and better adapted to school. Third, the examination of the effects of community social capital showed that the higher the community spirit the communities had, the better the young students in the communities adapted to school. Fourth, when the effects of family social capital and community social capital were examined in conjunction with each other, it was found that the less neglect the students experienced, the less abuse the students experienced, the greater the interest their parents had in their close friends, the better they themselves adapted to school. In relation to community social capital, the level of community spirit was still found to exert positive effects on the ability of young students to successfully adapt to school.