• 한국산학기술학회논문지
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• 제10권5호
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• pp.1100-1108
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• 2009

본 연구의 목적은 당뇨환자 관리와 관련된 요인을 규명하는데 있다. 2005년 국민건강 영양조사에 참여한 20세 이상의 성인 당뇨환자를 대상으로 하였다. 데이터마이닝 기법을 이용하여 로지스틱 회귀모형, 의사결정나무, 신경망 모형으로 당뇨환자관리모형을 개발한 결과 의사결정나무가 가장 설명력이 뛰어났다. 당뇨인지율과 관련된 요인으로는 연령, 거주지 및 직업이었고 중 연령이 가장 중요한 요인으로 나타났다. 당뇨치료율과 관련된 요인으로는 당뇨인지여부, 거주지 및 직업이었고 그 중 당뇨인지여부가 가장 중요한 변수로 나타났다. 당뇨환자의 관리프로그램은 당뇨환자의 특성별 군집으로 분류하고 그에 따라 관리해야 한다.

• Journal of Korean Biological Nursing Science
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• 제24권4호
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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.

• 한국안전학회지
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• 제28권1호
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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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• 제41권6호
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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.

• 지능정보연구
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• 제3권2호
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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.

• 보건행정학회지
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• 제20권1호
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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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• 제14권3호
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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.

• 한국CDE학회논문집
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• 제15권2호
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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.

• 한국경영과학회지
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• 제23권3호
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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.

• 농촌의학ㆍ지역보건
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• 제43권2호
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• pp.85-96
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• 2018

본 연구는 당뇨병 관리교육 경험유무에 따른 건강행태, 당뇨병 관리 차이를 분석하고, 당뇨병 환자의 건강관련 삶의 질에 미치는 요인을 알아보기 위해 지역사회건강조사를 활용한 이차자료 분석연구이다. 연구결과, 당뇨병 관리교육 경험군이 비경험군보다 흡연, 음주, 신체활동, 식생활 등에서 적절한 건강행태를 보이는 비율이 높았고, 당뇨병 관리에 있어서도 경험군이 비경험군보다 당뇨병 관리에 참여하는 비율이 높았다. 당뇨병 환자의 건강관련 삶의 질에 영향을 미치는 요인은 침상와병경험, 주관적 스트레스, 우울감 경험, 초등학교이하의 학력, 연령증가는 부정적인 영향을 보였고, 긍정적인 주관적 건강인지, 걷기운동 실천, 중등도 운동 실천, 월간음주, 직업있음, 배우자있음, 높은 주관적 행복감은 긍정적인 영향을 보였다. 본 연구의 결과, 아직도 많은 수의 당뇨병 환자들이 교육경험이 없는 것으로 나타났으므로 당뇨병 환자의 교육 참여를 높일 수 있는 정책적 고려가 필요하리라 생각되며, 당뇨병 환자들이 스트레스 인지가 높고, 우울감 경험등 정신건강이 취약한 것으로 나타났으므로 관리교육내용에 정신건강에 도움이 되는 교육내용이 포함될 것을 제언한다.