• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.5
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• pp.1100-1108
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• 2009

The Objectives: The purpose of this study is to identify the factors related to management of DM in Korea. Methods: The subjects selected by using data of National Health and Nutrition Survey(NHANS) in 2005 were 415 adults, aged 20 and older, and diagnosed with DM. This study used data mining algorithms. This study validated the predictive power of data mining algorithms by comparing the performance of logistic regression, decision tree, and Neural Network on the basic of validation, it was found that the model performance of decision tree was the best among the above three techniques. Result: First, awareness of DM was positively associated with age, residential area, and job. The most important factor of DM awareness is age. Awareness rate of DM with 52 age over is 76.1%. Among the ${\geq}52$ age group, an important factor is family history. Among patients who are 52 years or over with family history of DM, an important factor is job. The awareness rate of patients who are 52 age over, family, history of DM, and professionals is 95.0%. Second, treatment of DM was also positively associated with awareness, region, and job. The most important factor of DM treatment is DM awareness. Treatment rate of patients who are aware of DM is 84.8%. Among patients who have awareness of DM, an important factor is region. The awareness rate of patients who are aware of DM in rural area is 10.4%. Conclusion: Finally, the result of analysis suggest that DM management programs should consider group characteristic of DM patients.

• Journal of Korean Biological Nursing Science
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• v.24 no.4
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• pp.219-226
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• 2022

Purpose: This study aimed to investigate the status and factors associated with self-management behavior (SMB) of patients with type 2 diabetes (T2DM) in a border area of southwest China. Methods: A cross-sectional study was conducted with T2DM patients in Dali, China. The participants filled in the questionnaires including demographic and disease-related characteristics, psychosocial status, resources of DM knowledge, knowledge of DM care, competency in DM care skills, the Chinese Diabetes Management Self-Efficacy Scale (C-DMSES), and the Chinese Summary of Diabetes Self-Care Activities (C-SDSCA). All the data were analyzed with SPSS version 26. Multiple linear regression analysis examined associations between predictors and SMB. Results: A total of 470 valid questionnaires have been collected. The score for overall SMB was 50.71± 11.99; 19.6% of patients were at a good level, 48.3% were moderate, and 32.1% were poor. The significant factors that influenced SMB included self-efficacy (β= 0.37; p< .001), competency in DM care skills (β= 0.22; p< .001) and lacked in the treatment confidence (β= -0.09; p= .023). Conclusion: The level of self-management among T2DM patients in this area was medium-low state. For future studies, our findings suggest that self-efficacy, competency in DM care skills, and treatment confidence should be considered essential factors in improving the self-management behavior of T2DM patients in the border area of southwest China.

• Journal of the Korean Society of Safety
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• v.28 no.1
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• pp.158-163
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• 2013

While job stress evaluations are reported in the recent surveys upon the nuclear power plants(NPPs), any significant advance in the types of questionnaires is not currently found. There are limitations to their usefulness as analytic tools for the management of safety resources in NPPs. Data mining(DM) has emerged as one of the key features for data computing and analysis to conduct a survey analysis. There are still limitations to its capability such as dimensionality associated with many survey questions and quality of information. Even though some survey methods may have significant advantages, often these methods do not provide enough evidence of causal relationships and the statistical inferences among a large number of input factors and responses. In order to address these limitations on the data computing and analysis capabilities, we propose an advanced procedure of survey analysis incorporating the DM method into a statistical analysis. The DM method can reduce dimensionality of risk factors, but DM method may not discuss the robustness of solutions, either by considering data preprocesses for outliers and missing values, or by considering uncontrollable noise factors. We propose three steps to address these limitations. The first step shows data mining with response surface method(RSM), to deal with specific situations by creating a new method called response surface data mining(RSDM). The second step follows the RSDM with detailed statistical relationships between the risk factors and the response of interest, and shows the demonstration the proposed RSDM can effectively find significant physical, psycho-social, and environmental risk factors by reducing the dimensionality with the process providing detailed statistical inferences. The final step suggest a robust stress management system which effectively manage job stress of the workers in NPPs as a part of a safety resource management using the surrogate variable concept.

• Journal of Nutrition and Health
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• v.41 no.6
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• pp.502-509
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• 2008

Anemia is common in Diabetes Mellitus(DM) with chronic kidney disease. Recent research suggests that DM itself also may be a risk factor of anemia even though kidney failure causes anemia. However, it has not been reported that the impact of DM on anemia in representative data of Korean population. A total of 5,417 Korean adults aged 20 years and older(2,328 men, 3,089 women) were selected from the participants of the 2005 Korean National Health and Nutrition Examination Survey(KNHANES) for this study. Anemia was defined as hemoglobin(Hb) < 13 g/dL and hematocrit(Hct) < 39% for men or Hb < 12 g/dL and Hct < 36% for women. DM was defined as a fasting blood glucose $\geq$ 126 mg/dL. Korean adults with anemia had a higher prevalence of DM than in normal adults(11.4 vs 7.5%; p<0.0001). The unadjusted odds ratio(OR) for anemia was greater in Korean men with DM than in normal men(OR=4.25; 95% CI: 2.48-7.29). This results did not differ after adjustment for the putative risk factors for anemia including chronic disease(OR=2.64; 95% CI: 1.45-4.83). However, the presence of DM was not related with anemia in Korean women. In conclusion, this study revealed that DM might be an independent risk factor for anemia in Korean men. Identification and management for anemia are needed in Korean population with DM as well.

• Journal of Intelligence and Information Systems
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• v.3 no.2
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• pp.33-55
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• 1997

A data model is a diagram that describes the properties of different categories of data and the associations among them within a business or information system. In spite of its importance and usefulness, data modeling activity requires not only a lot of time and effort but also extensive experience and expertise. The data models for similar business areas are analogous to one another. Therefore, it is reasonable to reuse the already-developed data models if the target business area is similar to what we have already analyzed before. In this research, we develop a case-based reasoning system for data model reuse, which we shall call CB-DM Reuser (Case-Based Data Model Reuser). CB-DM Reuse consists of four subsystems : the graphic user interface to interact with end user, the data model management system to build new data model, the case base to store the past data models, and the knowledge base to store data modeling and data model reusing knowledge. We present the functionality of CB-DM Reuser and show how it works on real-life a, pp.ication.

• Health Policy and Management
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• v.20 no.1
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• pp.125-136
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• 2010

Objectives: The purpose of this study is to analyze the proportion of fundus examination of DM patients for preventing microvascular complication and to examine the factors related to fundus examination in DM patients. Methods: This study used 2005 Korean national health and nutrition survey data. We selected all 1,129 diabetes mellitus patients from the data. And we choose 8 factors related to diabetes mellitus patients. These are sex, age group, type of residential area(rural or urban), education level, income level, comorbidity with hypertension, current insulin use, and duration of suffering from DM. We have analysed these factors by whether he had been examined fundus or no through Chi-square and logistic regression analysis. Results: Female DM patients have tendency to get more fundus examination than Male DM patients. And Young patients, patients who live in urban area, well educated patients, high income patients, comorbidity with hypertension, patients have got the insulin injection, patients have long duration of suffering from DM are to get more fundus examination. According to multivariate logistic regression analysis, sex and education level, income level, and duration of suffering from DM, comorbidity with hypertension, patients have got the insulin injection are significant factors on fundus examination for prevent microvascular diabetes mellitus complications. Conclusions and Discussion: We have concluded that physicians and policy makers should consider to fundus examination especially of man and DM patients who have more shorter disease period and low educated patients and low incomed patients and patients who have taken insulin therapy.

• Nutrition Research and Practice
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• v.14 no.3
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• pp.218-229
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• 2020

BACKGROUND/OBJECTIVES: Type 2 Diabetes mellitus (T2DM) is a hereditary disease that is also strongly dependent on environmental factors, lifestyles, and dietary habits. This study explored the relationship between lifestyle habits and glycosylated hemoglobin management in T2DM patients to provide empirical outcomes to improve T2DM management and patient health literacy. SUBJECTS/METHODS: This study enrolled 349 diabetic patients with more than 5 care visits to a Diabetes Mellitus care network under the Health Management Plan led by Taiwan Department of Health (DOH). Based on relevant literature, an Outpatient Record Form of Diabetes Mellitus Care was designed and lipid profile tests were conducted for data collection and analysis. RESULTS: When modeling the data, the results showed that the odds for HbA1c > 7.5% in T2DM patients duration over 10 years was 3.785 (P = 0.002) times that in patients with disease duration of fewer than 3 years. The odds of HbA1c > 7.5% in illiterate patients was 3.128 (P = 0.039) times that in patients with senior high school education or above. The odds of HbA1c > 7.5% in patients with other chronic illness was 2.207 (P = 0.019) times that in participants without chronic illness. Among 5 beneficial lifestyle habits, the odds of HbA1c > 7.5% in patients with 2 or 3 good habits were 3.243 (P = 0.003) and 3.424 (P = 0.001) times that in patients with more than 3 good habits, respectively. CONCLUSION: This empirical outcome shows that maintaining a good lifestyle improves T2DM management and patients' knowledge, motivation, and ability to use health information. Patients with longer disease duration, education, or good lifestyle habits had optimal HbA1c management than those in patients who did not. Thus, effective selfmanagement and precaution in daily life and improved health literacy of diabetic patients are necessary to increase the quality of T2DM care.

• Korean Journal of Computational Design and Engineering
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• v.15 no.2
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• pp.94-105
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• 2010

Todays, there is fast transition about the new manufacturing IT methodologies from the conceptual phase into the practical application phase for the strengthening of enterprise competitiveness in manufacturing industry. One of those new methodologies is PLM (Product Life-cycle Management). PLM methodology consists of 3D CAD for the product design, PDM (Product Data Management) for the data management based on the collaboration platform and lastly DM (Digital Manufacturing). DM has evoluted from the stand-alone computer simulation of early 1980s, and now it covers the overall production development and production. Unfortunately, there exist serious critical problems about the actual application of DM for the real work. This is owing to the transition of the point of view from stand-alone type application (such as flow simulation or robot simulation) to that of business process about product development and production management. In this paper, we propose an application framework for the successful project with the digital manufacturing methodology with the concept of Information Strategy Planning, which enables the systematic diagnosis and the quantitative evaluation. Also, we introduce the actual practice of the proposing framework with the ISP project for 'Analysis & Simulation Technique of manufacturing process project' that is being conducted by Chungnam Techno Park.

• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.3
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• pp.63-73
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• 1998

The paper deals with interactive multiple criteria decision making procedure when decision maker (DM) specifies her or his preference in incomplete ways. Usually DM is willing or able to provide only incomplete information, because of time pressure and lack of knowledge or data. Under incomplete information on utility and attribute weight, the pairwise dominance checks result in strict or weak dominance values. Considering only strict dominance values sometimes fails to Prioritize alternatives because of fuzziness of preference information. Further there exists some information loss useful if used, otherwise. In this paper, we consider the outranking concept which implies the willingness of DM's taking some risk under the least favorable situation because she has enough reasons to admit the results. By comparing the magnitude of net preference degree of alternatives which is defined by difference between outrankings and outranked degree of each alternative, we can prioritize alternatives.

• Journal of agricultural medicine and community health
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• v.43 no.2
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• pp.85-96
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• 2018

Purpose: This study was to compare health behaviors, DM management and HRQoL among Diabetic patients according to education experience. Methods: Data were obtained from Community health Survey(CHS) of 2015. The participants were 22,937 diabetic patients who had education experience or not. Data were analyzed on complex sample anaysis using SPSS 24 program. Results: The education experience group showed higher percentages of health behaviors and DM Management and higher HRQoL. The significant negative factors influencing HRQoL were Bed ridden experience, higher subjective stress, depression expereince, age, low education and positive factors were good subjective health status, walking, mod-exercise, drinking, employment, spouse, good subjective happiness. Conclusion: These results show that education experience is a way to help diabetic patients' health behavior, DM management, HRQoL.