• Journal of Convergence for Information Technology
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• 제11권7호
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• pp.181-188
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• 2021

This study was performed to examine the strategy method for the sustainable stability and effectiveness of small and medium hospital, where the relationship between perceptual satisfaction and expectation factors for special hospital was analyzed. The structural questionnaire was given to the residents of Busan and Gyungnam over the age of 20 and the square contingency and the logistical regression were employed for the analysis of the results. First, the respondent with 68.0% has realized the hospital claiming to be characterization as the special hospital and the Ministry of Health and Welfare designated hospital was identified to the respondent of 21.3%. Second, perceptual satisfaction with expectation level was satisfied to the most visitor in case of visiting special hospitals with subjective perception and was confirmed to the intention of revisiting consistently. Third, for the perceptual satisfaction of visiting with expectation level, the safety and the quality of treatment affected significantly the cause-and-effect. The result has provided the useful information with the establishment of a strategy for the long-term and continued effect through the perceptual satisfaction and the emotional attachment.

• Phonetics and Speech Sciences
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• 제13권4호
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• pp.9-21
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• 2021

This study investigated whether Korean learners improve acoustic cue weights to identify Korean lenis and aspirated stops in the direction of native values through perception training that focused on contrasting the stops in various phonetic contexts. Nineteen native Chinese learners of Korean and two native Korean instructors for the perception training participated in the experiment. A training group and a non-training group were divided according to pretest results, and only the training group participated in the training for 5 days. To estimate the perceptual weights of the stop cues, a pretest and a posttest were conducted with stimuli whose stop cues (F0 and VOT) were systematically manipulated. Binary logistic regression analyses were performed on each learner's test results to calculate perceptual β coefficients, which estimate the perceptual weights of the acoustic cues used in identifying the stop contrast. The training group showed a statistically significant increase of 0.451 on average in the posttest for the coefficient values of the F0, which is the primary cue for the stop contrast, whereas the non-training group showed an insignificant increase of 0.246. The patterns of change in the F0 use after training varied considerably among individual learners.

• Journal of the Korea Convergence Society
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• 제12권11호
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• pp.359-369
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• 2021

In this study, a complex sample logistic regression analysis was performed to identify the factors affecting the activity restriction of 2,701 normal elderly and chronically ill elderly aged 65 and over using raw data from the 8th period of the National Health and Nutrition Examination Survey. It was found that the elderly with chronic disease felt more restricted in their activities than the normal elderly. Activity limiting factors in stroke and hypertension patients are subjective health status, economic level, stress perception, and moderate-intensity work and leisure. The factors limiting activity in patients with heart disease were subjective health status and economic level, and factors limiting activity in patients with joint disease were subjective health status and high-intensity work and leisure. Activity limiting factors for lung disease patients are education level, high intensity work and leisure, and endocrine system activity limiting factors include subjective health status, stress perception, high intensity work and leisure, and activity limiting factors for cancer patients. is subjective health status, stress perception, moderate-intensity work and high-intensity leisure. Rehabilitation programs and policy support are needed for the continuous participation of the elderly with chronic diseases.

• The Journal of the Convergence on Culture Technology
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• 제8권2호
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• pp.265-272
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• 2022

This study is a descriptive study to identify the factors affecting breast cancer screening behavior in women of childbearing age. The participants were 2,000 women between the ages of 19 and 40, and data collection was conducted through online and mobile surveys from September 2020 to August 2021. As a result of multivariable ordinal logistic regression analysis, age 20-29 (OR=2.145, CI=1.219-3.777), over 30 (OR=5.663, CI=2.784-11.521), annual income less than 10 million won (OR=1.606, CI=1.070-2.413), over 30 million won (OR=2.422, CI=1.550-3.785), family history of breast cancer (OR=2.421, CI=1.154-5.080), family history of ovarian cancer (OR=4.321, CI=1.382-13.516), subjective perception of health status was 'moderate' (OR=1.466, CI=1.064-2.020), and 'not healthy' (OR=1.854, CI=1.188-2.895) increased the breast cancer screening behavior. Therefore, based on this study, adequate policy should be adopted to strengthen the breast cancer screening behavior of young women of childbearing age.

• The Journal of the Korea Contents Association
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• 제22권6호
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• pp.580-595
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• 2022

This study looked at the relationship between lifestyle choices and various substance addictions in young adults by applying the Relapse Prevention model of addiction. The data was obtained from a cross-sectional questionnaire (Depression and Anxiety Assessment Test) of 926 young adults aged 18~24 from 24 countries. Of these, 17.6% reported that they had a serious substance addiction, with alcohol addiction being the highest (11.2%), followed by nicotine (10.3%) and illicit drug (8.7%) usage. Results of chi-square test and logistic regression analysis revealed a significant association between various lifestyle factors (exercise patterns, intake of dietary nutrients like tryptophan, folic acid, omega-3 fatty acids and micronutrients, spiritual habits such as Bible reading and prayer) and addiction to various substances (illicit drugs, alcohol and nicotine). Depression was also found to be a significant factor influencing substance addiction. Interestingly, the risk of alcohol abuse was the highest at 9.870 (95% CI: 4.525-21.525) times among those who didn't have the habit of daily Bible reading. The highest risk of nicotine and illicit drug addiction was among those who consumed 'less than 1 serving' of dietary micronutrients per day compared to those who consumed '5 or more servings', with odds ratios of 9.606(95% CI: 2.726-30.111) and 8.642(95% CI: 2.022-37.378), respectively. These findings suggest that holistic lifestyle interventions may help prevent and reduce substance addiction in young adults.

• Journal of the Korea Society of Computer and Information
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• 제27권11호
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• pp.219-229
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• 2022

This study is to evaluate the intervention effect using a flowmeter in bag-valve mask skill education. The purpose of this study was to compare the accuracy of bag-valve mask skill between intervention group with flowmeter and control group without flowmeter, understand the improvement effect of skill education of bag-valve mask, and provide basic data to suggest the method of skill education. The total number of subjects of this study was 60, with 30 intervention group and 30 control group. In comparison of the optimal number of normal tidal volume range at pre-test and post-test, the normal range percentages of the intervention group before and after education were 32.8% and 86.7%, respectively, and there was a significant difference(p<0.01). The normal range percentages of the control group before and after education were 20.0% and 34.7%, respectively, and there was a significant difference(p<0.05). To evaluate the factors associated with good performance of bag-valve mask skill of the subjects including the normal range of tidal volume, the logistic regression analysis has been performed, and the significant influential factors were gender(10.305, 1.20-87.98), educational experience of field practice(31.674, 1.25-805.16), and intervention(92.750, 4.58-1879.69). Through this study, it was confirmed that the intervention using flowmeter for the skill education of bag-valve mask was effective, and it is necessary to consider reflecting it in the education of students majoring in emergency medical technology in the future.

• The Korean Journal of Emergency Medical Services
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• 제26권2호
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• pp.97-111
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• 2022

Purpose: Automated External Defibrillator (AED) usage in out-of-hospital cardiac arrests (OHCAs) improves the survival of patients. In Singapore, public AEDs are protected by locked boxes with a 'break glass' mechanism to deter theft. Community responders have sustained injuries while breaking glass to retrieve AEDs. This unprecedented study aimed to elucidate the factors influencing successful retrieval of an AED and to document the prevalence of injuries. Methods: A survey was created and distributed. Participants were required to have responded to an OHCA in the past 12 months. Comparison tests were performed with the Fischer-Freeman-Halton Exact test or Pearson chi square test at 5% significance levels, and with multiple logistic regression with a logit link function. Results: Eighty-eight participants were eligible. The success of retrieving an AED was found not to be impacted by occupation, age, gender or time. Participants who responded to an OHCA because of activation by the myResponder App were more likely to retrieve an AED successfully. (AOR 11.111, 95% CI: 2.141-58.824) Conclusion: Use of the myResponder mobile application is associated with the greater success of retrieving an AED. Successful retrieval of an AED is not impacted by time, gender, age, or the occupation of the responder. Community responders in Singapore remain motivated to respond to Cardiac Arrests despite risk of injury.

• Journal of Industrial Convergence
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• 제21권5호
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• pp.77-85
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• 2023

Suicide is the leading cause of death among Korean adolescents. There is a growing interest in the role of loneliness as a risk factor for suicide ideation and depressive symptoms. However, little is known in the Korean context. This study analyzed a total of 109,796 respondents from the Korea Youth Health Behavior Survey in 2020 and 2021. Multiple logistic regression models were implemented to test the association between loneliness and either of suicidal ideation and depressive mood. Covariates included demographic characteristics, school enrolled, household income, living arrangement, self-rated health, and the number of times treated for violence. Adjusted odd ratio (OR) and 95% confidence intervals (CI) were computed. 12.0% of adolescents reported to have felt lonely frequently and 3.0% always. 11.8% and 26.0% had suicidal ideation and depressive mood, respectively. The prevalence of suicidal ideation was higher in the always-lonely adolescents (52.6%) than in the frequently-lonely adolescents (35.1%). The always-lonely adolescents were nearly 30 times more likely to have suicidal ideation (OR=30.7; 95% CI, 27.1 - 34.8) and to feel depressed (OR=32.5; 95% CI, 29.2 - 36.4) than adolescents who felt never lonely. In conclusion, Loneliness was a major risk factor for suicidal ideation and depressive mood among Korean adolescents. Monitoring and addressing the condition of loneliness may help reduce suicidal ideation and depressive mood.

• Journal of the Korea Convergence Society
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• 제13권1호
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• pp.399-408
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• 2022

The purpose of this study was to compare the usefulness of the lipid ratio indicators for the diagnosis of metabolic syndrome in the elderly aged 65 years or older. From January 2018 to December 2020, 1,464 people aged 65 years or older who underwent a health checkup at a general hospital in Seoul were included. Lipid ratio indicators were measured through blood tests. The prevalence of metabolic syndrome according to the quartiles of the lipid ratio index was confirmed by logistic regression analysis. In addition, the metabolic syndrome predictive ability and cutoff value of the lipid ratio indices were estimated with the receiver operating characteristic(ROC) curve. The correlation between atherogenic index of plasma(AIP) and waist circumference was the highest in both men and women(r=0.278, p<0.001 vs r=0.252, p<0.001). As for the lipid ratio indices, the incidence of metabolic syndrome was higher in the fourth quartile than in the first quartile. The area under the ROC curve(AUC) value of AIP was higher at 0.826(95% CI=0.799-0.850) and 0.852(95% CI=0.820-0.881) for men and women, respectively, compared to other lipid ratio indicators, and the optimal cutoff values for both men and women was 0.44(p<0.001). Therefore, the AIP among the lipid ratio indicators was found to be the most useful index for diagnosing metabolic syndrome in the elderly aged 65 years or older.

• Journal of Intelligence and Information Systems
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• 제29권2호
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• pp.241-265
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• 2023

A corporate insolvency prediction model serves as a vital tool for objectively monitoring the financial condition of companies. It enables timely warnings, facilitates responsive actions, and supports the formulation of effective management strategies to mitigate bankruptcy risks and enhance performance. Investors and financial institutions utilize default prediction models to minimize financial losses. As the interest in utilizing artificial intelligence (AI) technology for corporate insolvency prediction grows, extensive research has been conducted in this domain. However, there is an increasing demand for explainable AI models in corporate insolvency prediction, emphasizing interpretability and reliability. The SHAP (SHapley Additive exPlanations) technique has gained significant popularity and has demonstrated strong performance in various applications. Nonetheless, it has limitations such as computational cost, processing time, and scalability concerns based on the number of variables. This study introduces a novel approach to variable selection that reduces the number of variables by averaging SHAP values from bootstrapped data subsets instead of using the entire dataset. This technique aims to improve computational efficiency while maintaining excellent predictive performance. To obtain classification results, we aim to train random forest, XGBoost, and C5.0 models using carefully selected variables with high interpretability. The classification accuracy of the ensemble model, generated through soft voting as the goal of high-performance model design, is compared with the individual models. The study leverages data from 1,698 Korean light industrial companies and employs bootstrapping to create distinct data groups. Logistic Regression is employed to calculate SHAP values for each data group, and their averages are computed to derive the final SHAP values. The proposed model enhances interpretability and aims to achieve superior predictive performance.