• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1583-1598
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• 2019

Recently, software has increased in complexity and been applied in various industrial fields. As a result, the presence of software bugs cannot be avoided. Various bug severity prediction methodologies have been proposed, but their performance needs to be further improved. In this study, we propose a novel technique for bug severity prediction in cross projects such as Eclipse, Mozilla, WireShark, and Xamarin by using topic modeling and similarity (i.e., KL-divergence). First, we construct topic models from bug repositories in cross projects using Latent Dirichlet Allocation (LDA). Then, we find topics in each project that contain the most numerous similar bug reports by using a new bug report. Next, we extract the bug reports belonging to the selected topics and input them to a Naïve Bayes Multinomial (NBM) algorithm. Finally, we predict the bug severity in the new bug report. In order to evaluate the performance of our approach and to verify the difference between cross projects and single project, we compare it with the Naïve Bayes Multinomial approach; the Lamkanfi methodology, which is a well-known bug severity prediction approach; and an emotional similarity-based bug severity prediction approach. Our approach exhibits a better performance than the compared methods.

• Journal of Korea Planning Association
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• v.53 no.7
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• pp.49-66
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• 2018

The purpose of this study is to analyze neighborhood environmental factors affecting bicycle accidents and accidental severity in Seoul, Korea. The use of bicycles has increased rapidly as daily transportation means in recent years. As a result, bicycle accidents are also steadily increasing. Using Traffic Accident Analysis System (TAAS) data from 2015 to 2017, this study uses negative binomial regression analysis to identify neighborhood environmental factors affecting bicycle accidents and accidential severity. The main results are as follows. First, bicycle accidents are more likely to occur in commercial and mixed land use areas where pedestrians, bicycle and vehicles are moving together. Second, bicycle accidents are positively associated with road structures such as four-way intersection. In contrast, three-way intersection is negatively associated with serious bicycle accidents. The density of speed hump or street tree is negatively associated with bicycle accidents and accidential severity. This finding indicates the effect of speed limit or street trees on bicycle safety. Fourth, bicycle infrastructures are also important factors affecting bicycle accidents and accidential severity. Bicycle-exclusive roads or bicycle-pedestrian mixed roads are positively associated with bicycle accidents and accidential severity. Finally, this study suggests policy implications to improve bicycle safety.

• Health Policy and Management
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• v.23 no.1
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• pp.35-43
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• 2013

Background: Diagnosis procedure combination (DPC) has recently been introduced in Korea as a demonstration project and it has aimed the improvement of accuracy in bundled payment instead of Diagnosis related group (DRG). The purpose of this study is to investigate that the model of end-stage liver disease (MELD) score as the severity classification of liver diseases is adequate for improving reimbursement of DPC. Methods: The subjects of this study were 329 patients of liver disease (Korean DRG ver. 3.2 H603) who had discharged from National Health Insurance Corporation Ilsan Hospital which is target hospital of DPC demonstration project, between January 1, 2007 and July 31, 2010. We tested the cost differences by severity classifications which were DRG severity classification and clinical severity classification-MELD score. We used a multiple regression model to find the impacts of severity on total medical cost controlling for demographic factor and characteristics of medical services. The within group homogeneity of cost were measured by calculating the coefficient of variation and extremal quotient. Results: This study investigates the relationship between medical costs and other variables especially severity classifications of liver disease. Length of stay has strong effect on medical costs and other characteristics of patients or episode also effect on medical costs. MELD score for severity classification explained the variation of costs more than DRG severity classification. Conclusion: The accuracy of DRG based payment might be improved by using various clinical data collected by clinical situations but it should have objectivity with considering availability. Adequate compensation for severity should be considered mainly in DRG based payment. Disease specific severity classification would be an alternative like MELD score for liver diseases.

• Journal of Trauma and Injury
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• v.32 no.3
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• pp.143-149
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• 2019

Purpose: No previous study has assessed elderly pedestrian traffic accidents based on a nationwide database. This study aimed to help primary physicians who examine patients in emergency departments to determine and make prompt and accurate treatment decisions. Methods: This study used data from the Emergency Department-based Injury Indepth Surveillance from 2013 to 2017, managed by the Korea Centers for Disease Control and Prevention. Pedestrians aged ${\geq}65years$ were included, and using multivariate logistic regression multiple factors were analyzed to determine their relationship with injury severity. Results: Of 227,695 subjects, 6,498 were included, of whom 2,065 (31.8%) were severely injured. There were more female than male patients in all severity groups. Most accidents occurred in the afternoon and on general roads. In the multivariate analysis, the odds ratio (OR) of injury severity for male pedestrians was 1.165 (95% confidence interval: 1.034-1.313, p=0.012). Older age of patients and the use of ambulances were associated with greater injury severity. The accident time affected the degree of injury severity; i.e., compared to dawn, injury severity increased in the morning (OR: 1.246, p=0.047) and decreased at night (OR: 0.678, p<0.001). A significant difference was noted in the correlation between the type of vehicle causing the accident and the accident severity; i.e., motorcycle accidents had lower severity than bicycle accidents (OR: 0.582, p=0.047). Conclusions: Injury severity was correlated with sex, age, transportation to the ED, TA onset time, and type of vehicle. The study results suggest that injury severity may be positively reflected in initial assessments and overall integrated treatments by physicians and in the related policies.

• International Journal of Highway Engineering
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• v.18 no.6
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• pp.173-180
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• 2016

OBJECTIVES : Fixed roadside objects are a threat to drivers when their vehicles deviate from the road. Therefore, such roadside objects need to be suitably dealt with to decrease accidents. This study determines the factors affecting the severity of accidents because of fixed roadside objects. METHODS : This study analyzed the crash severity impact of fixed roadside objects by using ordered probit regression as the analysis methodology. In this research, data from 896 traffic accidents reported in the last three years were used. These accidents consisted of sole-car accidents, fixed roadside object accidents, and lane-departure accidents on the national highway of Korea. The accident severity was classified as light injury, severe injury, and death. The factors relating to the road and the driver were collected as independent variables. RESULTS : The result of the analysis showed that the variables of the crash severity impact are the collision location (left side), gender of the driver (female), alcohol use, collision facility (roadside trees, traffic signals, telephone poles), and type of road (rural segments). Additionally, the collision location (left side), gender of the driver (female), alcohol use, collision facility (street trees, traffic signals, telephone poles), and type of road (rural segments), in order of influence, were found to be the factors affecting the crash severity in accidents due to fixed roadside objects. CONCLUSIONS : An alternative solution is urgently required to reduce the crash severity in accidents due to fixed roadside objects. Such a solution can consider the appropriate places to install breakaway devices and energy-absorbing systems.

• Journal of the Korean Society of School Health
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• v.30 no.2
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• pp.164-173
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• 2017

Purpose: Despite the high incidence, the incidence of atopic dermatitis among adolescents has been continuously increasing. The study was conducted to examine the severity of atopic dermatitis among middle school students and to identify the factors affecting the severity. Methods: The data used in the analysis are from 2015 Youth Health Behavior Online Survey. Complex sample analysis was conducted to analyze the severity of atopic dermatitis which was defined by the treatment experience of atopic dermatitis and the number of absent days due to the disease as its criteria. Binary logistic regression of the factors affecting the severity of atopic dermatitis by gender was done. Results: The severity of atopic dermatitis was high in male students who were in a lower grade (freshmen), who smoked, or who consumed soft drinks at least once a week, while in female students who were in a lower grade (freshmen, sophomore), who consumed alcohol, who consumed highly caffeinated drinks at least once a week or who consumed sweet drinks at least once a week. The severity of atopic dermatitis was lower in female students who lived in big cities or medium/small sized cities or engaged in physical activities less than three times a week. Conclusion: For atopic dermatitis among middle school students, the importance of dietary management should be considered. This indicates that families, schools, and communities have their own responsibilities and efforts to relieve the symptoms of the atopic dermatitis.

• Journal of Veterinary Clinics
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• v.27 no.6
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• pp.686-692
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• 2010

Computed tomography (CT) is considered as gold standard in evaluating pancreatitis in human, but there have been only a few studies in veterinary field. Balthazar CT severity index (CTSI) used to assess the severity of acute necrotizing pancreatitis in human could be applicable to dogs, because the severity of acute pancreatitis depends on the area of pancreatic necrosis in dogs more than in human. In this study, 25 adult, clinically healthy beagle dogs were used. CT examinations was performed in normal pancreas, positive control group and acute necrotizing pancreatitis induced by autologous bile injection. Balthazar CTSI was applied to canine acute necrotizing pancreatitis in contrastenhanced CT image and compared with the result of histopathologic examination. The Hounsfield unit (HU) of normal canine pancreas was $52.44{\pm}4.58$ and the density was significantly decreased in acute necrotizing pancreatitis (P < .05). In contrast-enhanced CT examination, pancreatic density was decreased significantly and this area was compatible to pancreatic necrosis. Balthazar CTSI showed positive correlation with histopathologic evaluation with a sensitivity of 100% and a specificity of 88.89%. Balthazar CTSI can be applied to evaluate the severity of acute necrotizing pancreatitis in dogs.

• Journal of Korean Academy of Nursing
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• v.18 no.3
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• pp.257-268
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• 1988

The purpose of this study was to compare the effect of the Z-track intramuscular injection technique with the effect of the stand and intramuscular injection technique on the severity of discomfort and leasions at the injection site. The subjects of the study were 20 patients with only early tuber culosis excluding another abnormalities (a akin rash, allergy to topical use of alcohol, jaundice, edema, neurosensory abnormality, coagulation defects, obesity and thin). Data collection was done from Feb. 1 to March 15, 1988 by means of Korean Pain Measurement Tool, Visual Analogue Scale, and Objective measures of injection site lesions. The results of this study were as follows ; 1) Hypothesis 1 ; “The severity of subject discomfort is less following administration of the Z-track intramuscular injection technique than following administra tion injection technique.” was not sopported 2) Hypothesis 2 ; “The degress of severity subject discomfort is less following administration of the Z-track intramuscular injection technique than following administra tion of the standard intramuscular injection technique.” was not supported. 3) Hypothesis 3 ; “The severity of injection site lesions is less following administra tion of the Z-track intramuscular injection technique than following administration of the standard intramuscular injection techniques.” was not supported. 4) The terms that were selected included factor II (mild-moderate pain) of Ratio Scale Measuring Pain using Korean Pain Terms. In conclusion ; it was found that there was not a difference from the severity of subject discomfort between two groups, but the degress of severity of subject discomfort about following administration of the Z-t-rack intramuscular injection was tended to be declined. Therefore further studies suggest that the Z-track intramuscular injection technique can decrease the severity of discomfort in persons receiving frequently intramuscular injections. First of all, it is necessery to be developed an effective tool of discomfort measurement for the intramuscular injection in Korean.

• KIISE Transactions on Computing Practices
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• v.22 no.12
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• pp.681-686
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• 2016

Software defect prediction is an important factor in efficient project management and success. The severity of the defect usually determines the degree to which the project is affected. However, existing studies focus only on the presence or absence of a defect and not the severity of defect. In this study, we proposed an ensemble model using FCM based on defect severity. The severity of the defect of NASA data set's PC4 was reclassified. To select the input column that affected the severity of the defect, we extracted the important defect factor of the data set using Random Forest (RF). We evaluated the performance of the model by changing the parameters in the 10-fold cross-validation. The evaluation results were as follows. First, defect severities were reclassified from 58, 40, 80 to 30, 20, 128. Second, BRANCH_COUNT was an important input column for the degree of severity in terms of accuracy and node impurities. Third, smaller tree number led to more variables for good performance.

• Archives of Reconstructive Microsurgery
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• v.24 no.1
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• pp.13-15
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• 2015

Purpose: Since the hand elevation test was first introduced by Ahn in 2001, it has been one of most performing provocative test for diagnosing carpal tunnel syndrome. Although many studies have been published on the hand elevation test, there are no study that can explain why false-negative results of hand elevation test appears in carpal tunnel syndrome patients diagnosed by electromyography (EMG) findings. Therefore we searched out whether hand elevation test is related with EMG severity. Materials and Methods: We made a retrospective study of 654 bilateral carpal tunnel syndrome patients. Among them 134 were studied which had different hand elevation test results on each hands. The paired samples t-test was used to compare the EMG severity of each group. The relationships between hand elevation test and EMG severity were examined using Pearson-product correlations. Comparing whether the frequency of false negative hand elevation were different between both hands, and whether the severity of EMG depends on which side of hand is, was evaluated with Mann-Whitney U-test. Results: Severity of EMG in positive group was moderate to severe on average, whereas mild to moderate on negative group, with significant difference statistically (p<0.001). Correlation between the hand elevation test results and EMG severity also showed significance statistically (p<0.001). Conclusion: Mild severity of EMG was found out to be the factor affecting the false results. However, EMG severity and hand elevation test shows a meaningful correlation, supporting the value of hand elevation test.