• Journal of Digital Convergence
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• v.12 no.12
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• pp.457-467
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• 2014

The purpose of this study was to induce continuing health screening of the examinees of the health promotion centers by identifying reason of health screening, selection factors of health promotion center, satisfaction level for health promotion center and revisit intention for the examinees who have utilized the health promotion centers of hospitals in Busan and also understanding the examinees' preferences. This study has been conducted from 2, 22.~4, 5. 2013 with the 892 examinees who had utilized the 10 medical institutes in Busan. And the frequency, ${\chi}^2$-test, t-test, ANOVA, logistic regression was analysed. The summary of the study results is as follows. In terms of health screening type, those with office worker physical examination, those with revisit had the highest frequency whereas the group with no disease and the group of being healthy for subjective health condition had the highest frequency. As for the determination factors of health promotion center, accessibility, partnership work, acquaintance recommendation was found to be the highest and followed. And as for the satisfaction level of health promotion center, satisfaction level for accessibility and medical check-up was found to be the highest with 3.59 points, and followed by satisfaction level for brand name, facility, the economic cost. Finally, as for the revisit intention had the highest frequency. Based on the study results above it would be necessary to establish a reasonable price structure in revitalizing promotion and improving health program.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.235-241
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• 2016

Among recent issues emerging in the areas related to the society, health has received the most attention. In this paper, for a patient unable to do self-care because of worsened diseases, a biological information transfer method is proposed by which the disease information can be securely managed, by attaching an implantable device into the body. Our method object of the invention is to prevent a third party from illegally intercepting and interfering with the biological information attached to the insertion device in the body. In the proposed technique to improve the safety of the patient between the hospital and physician by assigning each code to the biometric information of the patient in order to prevent a third party tapping and interfering. In addition, our method is assigned a code necessary for encoding in advance to confirm the biological information between the patient and the hospital (doctor) in a manner dividing the bio-information code. In particular, the proposed technique makes a third party unable to illegally tap or interfere in, by previously generating a code used for encoding so that it can be stored in the database of the hospital, which not only decreased hospital care time to 6.9%, but also increased work efficiency rate up to 12.7%.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.319-329
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• 2016

This study aimed to identify nurses' participation motivation, its influence factors, and their job training need. A survey was conducted on 345 nurses of general hospitals in Gyeonggi-do. Data was collected from October 5th to 18th, 2016 and was analyzed through t-test, ANOVA, Bonferroni post-test, and multiple regressions using SPSS 21.0. Participation motivation was high in 'expertise capability improvement and development' and low in personal gain and job stability. Job training need was the highest in nosocomial infection management and CPR and was the lowest in hospice and rehabilitation nursing. Participation motivation had significant differences depending on age, marital status, educational level, and clinical experience, and was influenced by the job training need of professional nursing and medical knowledge for disease treatment. Therefore, it is necessary to plan medical educational programs to enhance job training effectiveness, establish a strategy to increase participation motivation; and expand various job training support.

• Journal of Digital Convergence
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• v.11 no.9
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• pp.289-299
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• 2013

The aim of this study was to enhance the NHI claims data-based tuberculosis classification rule of KCDC(Korea centers for disease control & prevention) for an effective TB surveillance system. 8,118 cases, 10% samples of 81,199 TB cases from NHI claims data during 2009, were subject to the Medical Record Survey about whether they are real TB patients. The final study population was 7,132 cases whose medical records were surveyed. The decision tree model was evaluated as the most superior TB patients detection model. This model required the main independent variables of age, the number of anti-tuberculosis drugs, types of medical institution, tuberculosis tests, prescription days, types of TB. This model had sensitivity of 90.6%, PPV of 96.1%, and correct classification rate of 93.8%, which was better than KCDC's TB detection model with two or more NHI claims for TB and TB drugs(sensitivity of 82.6%, PPV of 95%, and correct classification rate of 80%).

• Journal of Digital Convergence
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• v.17 no.12
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• pp.435-444
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• 2019

The purpose of this study was to investigate the relationship between sleep duration and muscle strength in Korean adults aged 19 years and older. The cross-sectional analysis was conducted using the 2016 National Health and Nutrition Examination Survey data and Chi square test and multiple regression analysis were used. As a result of the analysis, the grip strength of those with more than weekday average sleep duration of 9 hours was found to be -1.267kg compared with those with weekday average sleep duration of 7 hours. The grip strength of those with more than weekend average sleep duration of 9 hours was found to be -0.879kg compared with those with weekend average sleep duration of 7 hours. In model simultaneously adjusting for both the average weekday and weekend average sleep duration, weekday average sleep duration of 9 hours was found to be -1.034kg compared with those with weekday average sleep duration of 7 hours. Therefore, careful observation will be required in light of the fact that both sleep duration and grip strength can predict future health conditions.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.217-230
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• 2019

This study was conducted to develop a customized severity-adjustment method and to evaluate their validity for acute myocardial infarction(AMI) patients to complement the limitations of the existing severity-adjustment method for comorbidities. For this purpose, the subjects of KCD-7 code I20.0 ~ I20.9, which is the main diagnosis of acute myocardial infarction were extracted using the Korean National Hospital Discharge In-depth Injury survey data from 2006 to 2015. Three tools were used for severity-adjustment method of comorbidities : CCI (charlson comorbidity index), ECI (Elixhauser comorbidity index) and the newly proposed CCS (Clinical Classification Software). The results showed that CCS was the best tool for the severity correction, and that support vector machine model was the most predictable. Therefore, we propose the use of the customized method of severity correction and machine learning techniques from this study for the future research on severity adjustment such as assessment of results of medical service.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.249-255
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• 2019

Type 2 diabetes mellitus(T2DM) is included in metabolic disorders characterized by hyperglycemia, which causes many complications, and requires long-term treatment resulting in massive medical expenses each year. There have been many studies to solve this problem, but the existing studies have not been accurate by learning and predicting the data at specific time point. Thus, this study proposed a model using RNN to increase the accuracy of prediction of T2DM. This work propose a T2DM prediction model based on Korean Genome and Epidemiology study(Ansan, Anseong Korea). We trained all of the data over time to create prediction model of diabetes. To verify the results of the prediction model, we compared the accuracy with the existing machine learning methods, LR, k-NN, and SVM. Proposed prediction model accuracy was 0.92 and the AUC was 0.92, which were higher than the other. Therefore predicting the onset of T2DM by using the proposed diabetes prediction model in this study, it could lead to healthier lifestyle and hyperglycemic control resulting in lower risk of diabetes by alerted diabetes occurrence.

• Smart Media Journal
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• v.11 no.7
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• pp.9-18
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• 2022

With the outbreak of COVID-19, the world is in unexpected chaos. In particular, the Korean economy, which has a large number of self-employed people, is experiencing enormous damage from COVID-19. The purpose of this study is to analyze the causal impact of start-ups and closures by industry due to the COVID-19 outbreak. For the causal impact analysis, we collected and analyzed 8,312,224 cases of start-up and closure of 190 businesses that occurred on the local administrative license data public site for 11 years from 2010 to 2020. As a result of the analysis of the causal impact of COVID-19, there were 29 industries in which start-ups increased(increase rate 313.14% ~ 6.39%), 23 industries in which start-ups decreased(decrease rate 70.62% ~ 11.27%), 21 industries in which closures increased(increase rate 157.55% ~ 13.57%), and 18 industries in which business closures decreased(reduction rate 49.45% ~ 12.91%). The industries in which start-ups increased and closures decreased due to the COVID-19 outbreak were disinfection, food transportation, and general sales of health functional food. The industries in where start-ups decreased and closures increased due to the COVID-19 outbreak were youth game providing industry, danran pub business, and general game providing industry. It is expected that the results of this study will help practitioners who manage various infectious diseases to understand the causal impact of infectious disease outbreaks and to prepare countermeasures.

• Journal of Digital Convergence
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• v.14 no.5
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• pp.433-443
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• 2016

This study is to research the comprehensive recognition of male elderly about the sex life in old age. We collected data through face to face interview after obtaining the consents of 13 male elderly over 65 years old who reside in Kimhae Gyeongnam and Busan. The result of study showed that the sexual recognition of male elderly participants include the core concept of , , < the sex with restriction> and . In other words, the male elderly recognized the sexual life of old age as a natural and instinctive thing, the restrictions still exist including the negative recognition of family and surrounding people and diseases but it is found that the improvement of social recognition about sexual desire, the sex education and aggressive support for the various solutions are required. As the sexual awareness of the elderly is the comprehensive and broad study, the amalgamative and integrated study should be continued in the various fields. Through this, we tried to suggest the basic documents to the effective and differentiated individual sex consultation based on the empirical characteristics and desire of male elderly, and customized sex education and the development of local society program.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.217-230
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• 2015

This study investigated the differences in how medical institutions are chosen according to the motivation of medical service utilization(minor disease, major disease, chronic disease management, cosmetic). Importance order of selection for the minor disease were medical skill, kindness, rapidness, proximity, importance order of selection for major disease and cosmetic were medical skill, facilities, reputation, medical fee, importance order of selection for chronic disease management were medical skill, facilities, kindness, medical fee. From this medical study skill was a more important factor in medical institutions irrespective of motivation, subjects with the major disease tend to consider the selection of the medical institutions more important, except proximity. Medical users select medical institutions according to the motivation of visiting, and there were differences in same motivation according to socioeconomic status and information searching behavior.