• 한국인터넷방송통신학회논문지
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• 제20권5호
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• pp.9-13
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• 2020

사상의학은 개인별 맞춤의학에 최적화된 한국 고유의 전통의학으로 유효한 임상 효능에도 불구하고 체질진단의 부정확도는 한계로 지적받아 왔다. 체질 진단의 정확도를 개선하기 위해 정량 데이터에 기반한 체질 분석 알고리즘이 개발되었으며, 본 연구에서는 개발된 알고리즘을 적용한 체질 분석 체험 시스템을 개발하고 반복성을 평가하였다. 체질분석 체험 시스템은 정면과 측면 안면 영상, 음성, 설문 정보를 수집하고 통합 체질 확률 값을 계산하여 체험자의 체질을 분석한다. 개발한 시스템의 체질 확률 값에 대한 반복도 평가를 위해 3명을 대상으로 각 5회 반복 측정하였으며, 변동계수가 4.778%로 나와 충분한 반복도를 보이는 것을 확인하였다. 개발한 시스템은 사상의학의 인식 제고를 위한 홍보에 기여할 수 있을 것이다.

• 융합정보논문지
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• 제10권3호
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• pp.134-140
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• 2020

본 연구의 목적은 노인요양시설 거주 노인과 비거주 노인의 구강건강상태를 비교하는 것이었다. 연령, 성별, 기초생활수급상태가 동일한 469명을 매칭하여 구강건강상태를 비교분석하였다. 노인요양시설 거주 노인들은 시설 비거주 노인보다 치아우식 우병률(p=0.019), 우식영구치수(p=0.001), 상실영구치수(p=0.047)가 더 높았고 충전영구치수(p<0.001)는 더 낮은 것으로 확인되었다. 시설 거주 노인들은 비거주 노인들보다 치아우식에 유병될 확률이 1.93배 더 높았고, 충전치아를 가지게 될 확률은 0.73배였다. 의치를 장착하게 될 확률은 상악이 0.15배, 하악이 0.13배였으며, 의치필요도는 상악이 5.61배, 하악이 5.65배였다. 의치 장착여부 및 필요도에 대한 보정된 오즈비는 모두 유의한 것으로 나타났다. 이 결과를 바탕으로 노인요양시설 거주 노인의 구강건강증진을 위한 구강보건정책 수립을 위한 근거 자료로 활용할 수 있을 것으로 생각된다.

• 문화기술의 융합
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• 제9권1호
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• pp.679-684
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• 2023

현재 우리나라는 도심지 과밀도로 구조물과 인접하여 대규모, 대심도 굴착시공이 이루어지고 있다. 도심지에서의 인접굴착공사는 흙막이 구조물 및 지하구조물의 안전성 확보가 매우 중요하다. 이에 자동화계측 시스템을 도입하여 시설물에 대한 안전성을 관리하고 있다. 그러나 자동화계측 시스템 결과의 활용도는 매우 낮은 실정이다. 종래 평가기법은 측정된 데이터의 최댓값에만 의존하여, 이상 거동을 과대 평가할 수 있는 기법이다. 본 연구에서는 자동화계측 결과에 대한 분석기법을 개선하고자 한다. 시설물의 이상거동을 파악하기 위해 자동화계측 데이터 시계열 분석기법을 제시하였다. 또한 방대한 양의 데이터를 확률통계 분석기법을 적용하여 신뢰성 높은 결과를 도출하였다. 따라서 본 연구에서는 시설물의 방대한 양의 데이터를 처리할 수 있는 분석기법 및 평가기법을 개선하였다.

• 한국유기농업학회지
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• 제32권2호
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• pp.161-182
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• 2024

The purpose of this study is to highlight overseas reductions as one of the measures to achieve Korea's 2030 NDCs, and to derive factors to promote overseas greenhouse gas reduction projects. To this end, a survey was first conducted on greenhouse gas management companies, which are the main entities for reducing greenhouse gas emissions. The contents of the survey are divided into three categories: awareness of greenhouse gas reduction projects, institutional and technical sectors, and government support and difficulties. Specifically, the perception section on greenhouse gas reduction projects examined the greenhouse gas reduction methods currently implemented or under consideration in the future. In the area of government support and difficulties, difficulties in promoting overseas greenhouse gas reduction projects were investigated. The results of the analysis using the probability selection model are as follows. First, the greater the greenhouse gas intensity, the degree of dedicated manpower, and the larger the size according to the company's business field, the higher the interest in overseas reduction projects. Second, there was discrimination in the method of reducing greenhouse gas emissions according to the size variables of the company, the degree of greenhouse gas intensity, the degree of having dedicated manpower, and the business field. Lastly, in the case of small businesses, difficulties in business promotion due to the lack of greenhouse gas reduction technology were found to be the biggest cause than other problems. Therefore, it is necessary to induce the reduction of greenhouse gas emissions by introducing foreign technologies to support greenhouse gas reduction technologies for small and medium-sized enterprises, and to provide support such as training courses for professional manpower and the operation of portals for information provision at the government level.

• Asian Pacific Journal of Cancer Prevention
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• 제15권9호
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• pp.4049-4054
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• 2014

Background: Race and ethnicity are significant factors in predicting survival time of breast cancer patients. In this study, we applied advanced statistical methods to predict the survival of White non-Hispanic female breast cancer patients, who were diagnosed between the years 1973 and 2009 in the United States (U.S.). Materials and Methods: Demographic data from the Surveillance Epidemiology and End Results (SEER) database were used for the purpose of this study. Nine states were randomly selected from 12 U.S. cancer registries. A stratified random sampling method was used to select 2,000 female breast cancer patients from these nine states. We compared four types of advanced statistical probability models to identify the best-fit model for the White non-Hispanic female breast cancer survival data. Three model building criterion were used to measure and compare goodness of fit of the models. These include Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC). In addition, we used a novel Bayesian method and the Markov Chain Monte Carlo technique to determine the posterior density function of the parameters. After evaluating the model parameters, we selected the model having the lowest DIC value. Using this Bayesian method, we derived the predictive survival density for future survival time and its related inferences. Results: The analytical sample of White non-Hispanic women included 2,000 breast cancer cases from the SEER database (1973-2009). The majority of cases were married (55.2%), the mean age of diagnosis was 63.61 years (SD = 14.24) and the mean survival time was 84 months (SD = 35.01). After comparing the four statistical models, results suggested that the exponentiated Weibull model (DIC= 19818.220) was a better fit for White non-Hispanic females' breast cancer survival data. This model predicted the survival times (in months) for White non-Hispanic women after implementation of precise estimates of the model parameters. Conclusions: By using modern model building criteria, we determined that the data best fit the exponentiated Weibull model. We incorporated precise estimates of the parameter into the predictive model and evaluated the survival inference for the White non-Hispanic female population. This method of analysis will assist researchers in making scientific and clinical conclusions when assessing survival time of breast cancer patients.

• Asian Pacific Journal of Cancer Prevention
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• 제15권19호
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• pp.8371-8376
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• 2014

Background: The use of statistical methods has become an imperative tool in breast cancer survival data analysis. The purpose of this study was to develop the best statistical probability model using the Bayesian method to predict future survival times for the black non-Hispanic female breast cancer patients diagnosed during 1973-2009 in the U.S. Materials and Methods: We used a stratified random sample of black non-Hispanic female breast cancer patient data from the Surveillance Epidemiology and End Results (SEER) database. Survival analysis was performed using Kaplan-Meier and Cox proportional regression methods. Four advanced types of statistical models, Exponentiated Exponential (EE), Beta Generalized Exponential (BGE), Exponentiated Weibull (EW), and Beta Inverse Weibull (BIW) were utilized for data analysis. The statistical model building criteria, Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) were used to measure the goodness of fit tests. Furthermore, we used the Bayesian approach to obtain the predictive survival inferences from the best-fit data based on the exponentiated Weibull model. Results: We identified the highest number of black non-Hispanic female breast cancer patients in Michigan and the lowest in Hawaii. The mean (SD), of age at diagnosis (years) was 58.3 (14.43). The mean (SD), of survival time (months) for black non-Hispanic females was 66.8 (30.20). Non-Hispanic blacks had a significantly increased risk of death compared to Black Hispanics (Hazard ratio: 1.96, 95%CI: 1.51-2.54). Compared to other statistical probability models, we found that the exponentiated Weibull model better fits for the survival times. By making use of the Bayesian method predictive inferences for future survival times were obtained. Conclusions: These findings will be of great significance in determining appropriate treatment plans and health-care cost allocation. Furthermore, the same approach should contribute to build future predictive models for any health related diseases.

• Asian Pacific Journal of Cancer Prevention
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• 제15권21호
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• pp.9453-9458
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• 2014

Background: Breast cancer is the second leading cause of cancer death for women in the United States. Differences in survival of breast cancer have been noted among racial and ethnic groups, but the reasons for these disparities remain unclear. This study presents the characteristics and the survival curve of two racial and ethnic groups and evaluates the effects of race on survival times by measuring the lifetime data-based half-normal model. Materials and Methods: The distributions among racial and ethnic groups are compared using female breast cancer patients from nine states in the country all taken from the National Cancer Institute's Surveillance, Epidemiology, and End Results cancer registry. The main end points observed are: age at diagnosis, survival time in months, and marital status. The right skewed half-normal statistical probability model is used to show the differences in the survival times between black Hispanic (BH) and black non-Hispanic (BNH) female breast cancer patients. The Kaplan-Meier and Cox proportional hazard ratio are used to estimate and compare the relative risk of death in two minority groups, BH and BNH. Results: A probability random sample method was used to select representative samples from BNH and BH female breast cancer patients, who were diagnosed during the years of 1973-2009 in the United States. The sample contained 1,000 BNH and 298 BH female breast cancer patients. The median age at diagnosis was 57.75 years among BNH and 54.11 years among BH. The results of the half-normal model showed that the survival times formed positive skewed models with higher variability in BNH compared with BH. The Kaplan-Meir estimate was used to plot the survival curves for cancer patients; this test was positively skewed. The Kaplan-Meier and Cox proportional hazard ratio for survival analysis showed that BNH had a significantly longer survival time as compared to BH which is consistent with the results of the half-normal model. Conclusions: The findings with the proposed model strategy will assist in the healthcare field to measure future outcomes for BH and BNH, given their past history and conditions. These findings may provide an enhanced and improved outlook for the diagnosis and treatment of breast cancer patients in the United States.

• 보건교육건강증진학회지
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• 제23권2호
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• pp.77-89
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• 2006

Objectives: Recent studies have shown that tailoring to women's individual beliefs and stage of cancer screening adoption increase the probability that cancer screening will ensue. To identify variables associated with cancer screening behavior, many studies for cancer screening have used the Transtheoretical Model(TTM). This study was carried out to identity the cognitive and behavioral factors associated with breast cancer screening by stages of change among women, forties aged. Methods: Building on the TTM constructs, we collected the data to test the association with cognitive and behavioral factors for breast cancer screening by stage of change among women, forties aged (N=232), using the self-reported questionnaire. The stages of change were grouped according to screening participation and intention for breast cancer as precontemplation, contemplation, preparation, action, and maintenance. We found out the association between breast cancer screening and cognitive and behavioral factors, and testified the difference between stages of change by chi-square test, one-way ANOVA, and multiple comparison analysis(Duncan test). Results: Analyses of 232 women showed that participation on mammography was 68.1% within lifetime and 46.1% within last 2 years, and we found out the association with breast cancer screening participation, intention and cognitive-behavioral factors. The stages of change based on participation and intention were different from the decisional balance, the screening attitude, and the self-efficacy(p<0.01). The decisional balance was differ from stages of change because the difference on opinions about pros(positives) and cons(negative) were likely to significant by stages of change(p<0.05, p<0.01). Conclusion: To increase the screening rate for breast cancer, it should be developed the tailored message and recommend guideline. And the tailored message should be designed to increase the pros of breast cancer screening(mammography) and to decrease the cons, and considered the woman's stage of adoption.

• 보건교육건강증진학회지
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• 제18권2호
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• pp.129-140
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• 2001

Harmful environment around school area have been increased with socio-economic development in Korea. Those entertainment facilities have caused a negative effect on the learning environment in many schools. As a result of increased entertainment harmful facilities in school area, the numbers of deviant behaviors such as drinking, smoking, substance abuse and sexual activity among junior high school students have been significantly increased. Given this situation, the aim of this study was to describe the distribution of the facilities; to access applied(experience) of the facilities according to students demographic variables; and to identify the relationship between use of the facilities and students risk health behaviors such as smoking, drinking, substance abuse and sexual activity. The field theory was used to study the relationship between the use of the facilities and risk health behaviors among students. A self-administered questionnaire survey was conducted in Korea. 2,114 junior and senior high school students(middle and high school students) were recruited by the method of proportional stratified random sampling from June to July 2000. Results indicated that: 1) The rates of using game centers, PC rooms, Song rooms and comic rooms were 78.3%, 75.6%, 71.6%, and 34.3% respectively. 2) High school students visited the entertainment facilities significantly more than middle school students(p〈0.001). 3) The rates of using facilities near schools were significantly associated with parents job(p〈0.05). 4) The rates of drinking, smoking, drug abuse, and sexual activity were 21.6%, 11.9%, 4.3% and 1.6% respectively. 5) Risk health behaviors such as smoking(p〈0.001) and drinking(p〈0.001), amount of smoking and drinking(p〈0.001) and sexual activity(p〈0.05) were associated with the experience of using the facilities. Those who had drinking experience were more likely to go the facilities than those without drinking experience. Also, those who were smoker had higher probability of going using the facilities than non-smokers.

• 보건교육건강증진학회지
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• 제22권2호
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• pp.97-110
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• 2005

Objectives: Recent studies have shown that tailored messages for cancer screening to the beliefs and stage of cancer screening behavior of individual women increases the take-up probability. Many studies on cancer screening have used the Transtheoretical Model (TTM) to identify variables associated with cancer screening behavior. This study was carried out to identify the cognitive-behavioral factors associated with stomach cancer screening among women aged 40 years and over, and to develop and evaluate a tailored educational program for stomach cancer screening by stages of change. Methods: Building on the TTM constructs, we conducted a quasi-experimental study(N=283) to test the effectiveness of a tailored educational program for endoscopic stomach cancer screening. We carried out pre and post tests in the experimental group(N=162) and the control group(N=121), and the experimental group was subdivided into an on-line group(N=81) and an off-line group(N=81) by educational methodology using e-mail and the postal service. We used the chi-square test, trend test, and paired t-test to test the effectiveness of the program for stomach cancer using a tailored stage-matched messages. Results: To examine the effectiveness of the program for stomach cancer screening by the tailored stage-matched messages, the stage-matched materials were offered to the experimental group(N=162) four times for 4 weeks. The stage-matched materials consisted of the four types for stomach cancer. The tailored message was effective in changing the cognitive-behavioral factors, such as experience process, behavior process, con opinion for stomach cancer, self-efficacy, and the behavioral stages for stomach cancer screening. The stomach cancer screening adherence was higher for the stage-matched materials using postal mail than for those using e-mail. Conclusion: To improve the stomach cancer screening rate, the use of tailored messages for stomach cancer screening will be generated using an expert system. Therefore the implementation of tailored educational program will be supported a partnership between public and private health organizations and increasing awareness of the necessity of community-based interventions.