• 대한지역사회영양학회지
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• 제27권1호
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• pp.1-11
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• 2022

Objectives: Away-from-home (AFH) eating has been associated with poor diet quality and health outcomes like obesity in developed countries. AFH eating is also emerging in low-income countries, but its influence on overall diet quality is under-researched. We examined the prevalence of AFH eating and its influence on the dietary patterns of Ugandan adults. Methods: This cross-sectional study employed a web-based survey to interview Ugandan adults aged 18 ~ 65 years. A qualitative food frequency questionnaire was used to assess the food group intake, which was then converted into daily intake frequencies. Principal component analysis was used to derive dietary patterns. The participants were then classified based on the tertiles (T) of dietary pattern scores. Results: About 75% of the 375 participants reported eating AFH. The young men, food insecure, and urban dwellers were more likely to eat AFH ≥ 5 times/week. Three dietary patterns emerged; the animal-based, beverage pattern; the high fat, sweet pattern; and the traditional, plant-based pattern. Participants who frequently ate AFH were 2.85 times and 5.64 times more likely to be in the second and third tertiles, respectively, of the animal-based, beverage pattern compared to the rare eaters (OR = 2.85, 95% CI: 1.35-6.06 for T2 vs T1; and OR = 5.64, 95% CI: 2.50-12.73 for T3 vs T1). The odds of being in the second tertile of the high fat, sweet pattern was significantly higher for frequent AFH eaters compared to the rare eaters (OR = 2.61, 95% CI:1.23-5.52). Conclusions: The prevalence of AFH eating was high. Frequent AFH eating was common among the young, male, food insecure, and urban dwellers, and was associated with unhealthy dietary patterns.

• 대한예방한의학회지
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• 제16권2호
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• pp.67-81
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• 2012

Objective : This study aimed to analyze the utilization of Korean Medicine clinics, and high-frequent diseases by sex, age, and region of outpatients and inpatients Methods : The data for this study were "Report on Usage Patterns of Korean Medicine Clinics" issued by the Ministry of Health and Welfare in 2008. Descriptive analysis and correspondence analysis were used to find the patterns of patient's utilization by sex, age and region Results : Diagnosis and examination methods mostly consisted of the pulse for diagnosis. Treatment methods consisted of acupuncture, medical herbs in package, and insurance extract powder. Fee for consultation was paid by Korean Medicine insurance. Usage increased when people's age was over 20 and climaxed among people who were in their 40s and 50s and decreased gradually afterwards. Also, there were differences between the sexes. There were differences in high-frequent diseases by regions, and in usage of Korean Medicine clinics according to sex and age. Conclusion : It was found that there were differences in usage and patterns of Korean Medicine Clinics according to sex, age, and region.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.868-871
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• 2006

Mortality of domestic people from cardiovascular disease ranked second, which followed that of from cancer last year. Therefore, it is very important and urgent to enhance the reliability of medical examination and treatment for cardiovascular disease. Heart Rate Variability (HRV) is the most commonly used noninvasive methods to evaluate autonomic regulation of heart rate and conditions of a human heart. In this paper, our aim is to extract a quantitative measure for HRV to enhance the reliability of medical examination for cardiovascular disease, and then develop a prediction method for extracting multi-parametric features by analyzing HRV from ECG. In this study, we propose a hybrid Bayesian classifier called FP-based Bayesian. The proposed classifier use frequent patterns for building Bayesian model. Since the volume of patterns produced can be large, we offer a rule cohesion measure that allows a strong push of pruning patterns in the pattern-generating process. We conduct an experiment for the FP-based Bayesian classifier, which utilizes multiple rules and pruning, and biased confidence (or cohesion measure) and dataset consisting of 670 participants distributed into two groups, namely normal and patients with coronary artery disease.

• 대한지리학회지
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• 제45권3호
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• pp.319-341
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• 2010

본 연구에서는 지난 36년 동안(1973/74-2008/09) 우리나라 겨울철 강설자료와 북반구 대기순환장을 분석하여 대설 유형별 지상 종관 기후 패턴의 특징을 밝히고자 한다. 동아시아 기압 배치 및 대설 지역을 복합적으로 고려하여 우리나라 대설 발생 사례를 크게 4가지 종관 기후 범주, 세부적으로 17가지 유형으로 세분하였다. 지상 종관 기후 자료 분석에서 각 대설 유형마다 한반도 주변에 나타나는 기압과 바람벡터 아노말리 핵들의 위치 및 강도 차이가 뚜렷하게 나타난다. 특히, 시베리아 고기압의 장출과 이동성 저기압의 통과 여부가 이러한 차이점에 중요한 영향을 미친다. 반구 규모 종관 기후 패턴으로 북극진동의 음의 모드 또한 한반도 겨울철 대설 발생 증가에 영향을 미친다. 이러한 종관 기후 분석 결과들은 단기 또는 계절 대설 예보 향상에 기초 자료로 활용 될 수 있다.

• 약학회지
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• 제58권1호
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• pp.40-46
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• 2014

Drugs with a narrow therapeutic index (NTI) require very precise dosing. Warfarin and digoxin are the examples of NTI-drugs and dosing of them varies widely for different patients. However, in South Korea, only two strengths of warfarin and one of digoxin are commercially available. This is a big barrier for the precise dispensing and has potential safety risks to patients, particularly to elderly patients. To find a potential solution to the problem, an analysis of the prescribed doses and dispensing patterns of those drugs was performed. Data were collected by computer-facilitated prescription review in a university hospital. The period screened was from May 1st, 2012 to April 30th, 2013. All the prescriptions with either warfarin or digoxin tablets were selected for this study and dispensing patterns were analyzed according to the prescribed doses. A total of 17,017 warfarin prescriptions were analyzed; 8,148 for inpatient prescriptions, 8,869 for outpatient prescriptions, respectively. Of the 23 kinds of prescribed doses, 2 mg (19.9%) was most frequent, followed by 3 mg (13.2%) and 2.5 mg (11.7%). By analyzing the dispensing patterns, 60.3% (10,253) of the prescriptions required pill splitting and 72.0% of them were for the patients 65 years old and over. On the other hand, 4,350 digoxin prescriptions were included in this study. Of the 6 kinds of prescribed doses, 0.125 mg (71.2%) was most frequent, followed by 0.0625 mg (20.2%). Among the prescriptions for digoxin, 92.0% (3,998) should be split and 65.7% of them were for the patients aged 65 years and over. Despite limitations of strengths, various doses of warfarin and digoxin were prescribed. Furthermore, more than half of the prescriptions that required pill splitting were for elderly patients. The results from this study suggest that different strengths of warfarin and digoxin should be provided for accuracy of dispensing and safety for patients receiving them.

• 한국컴퓨터정보학회논문지
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• 제14권5호
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• pp.29-36
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• 2009

서열데이터베이스에 있는 자주 발현하는 부분 서열을 패턴으로 찾아내는 순차패턴 탐색은 넓은 응용 분야를 가지는 중요한 데이터 마이닝 문제이다. DNA 서열에서 순차패턴이 모티프가 될 수 있으므로 DNA 서열에서 순차패턴을 찾는 것을 연구하였다. 대부분의 기존 마이닝 방법은 순차패턴의 정의에 따라 정확한 정합에 주력하여 노이즈가 있는 환경이나 실제 문제에서 발생하는 부정확한 데이터에 대하여 제대로 작동하지 않을 수 있다. 이러한 문제가 생물 데이터인 DNA 서열에서 자주 나타난다. 이러한 문제를 다루기 위한 근사 정합 방법을 연구하였다. 본 연구의 아이디어는 자주 발생하는 패턴을 근사 패턴이라 부르는 그룹으로 분류할 수 있다는 관찰에서 기반을 둔다. 기존의 Prefixspan 알고리즘은 주어진 긴 서열에서 순차패턴을 잘 찾을 수 있다. 본 연구는 Prefixspan 알고리즘을 개선하여 유사한 순차패턴을 찾을 수 있게 하였다. 실험 결과는 PreFixSpan보다 제안한 방법이 패턴 길이가 4일 때, 근사 순차패턴의 빈도가 5배 높아짐을 보였다.

• 대한지역사회영양학회지
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• 제21권2호
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• pp.140-151
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• 2016

Objectives: This study was performed to examine the consumption patterns of convenience food at convenience stores, dietary habits, and perception as well as knowledge of food additives among university students. Methods: Subjects were 352 university students in Cheongju, Korea, and data was collected by a self-administered questionnaire. They were divided into three groups according to the frequency of consumption of convenience food at convenience stores: 79 rare (${\leq}1$ time/month), 89 moderate (2-4 times/month) and 184 frequent (${\geq}2$ times/week). Results: More subjects from the frequent consumption group lived apart from parents (p<0.001) and possessed more pocket money (p<0.01). Frequent consumption group consumed noodles, Kimbab, and sandwich & burger significantly more often (p<0.001, respectively) than others. In addition, frequent consumption of convenience foods at convenience stores was associated with frequent breakfast skipping (p<0.05), irregular meal time (p<0.01), snacking (p<0.05), and eating late night meal (p<0.001). More from the rare consumption group had heard about food additives previously compared to the frequent consumption group (79.7% vs. 63.6%, p<0.01). Frequent consumption group showed significantly higher score than did the rare consumption group for the following questions: monosodium glutamate is harmful to your health (p<0.05), food additives are necessary for food manufacturing (p<0.005), food additives need to be labeled on products (p<0.05), there is no food additive at all if labeled as no preservatives, no coloring, and no added sugar (p<0.05). There was a significant difference in degrees of choosing products with less food additives depending on the consumption pattern. Conclusions: Our results provided a better understanding of the factors associated with frequent consumption of convenience foods at convenience stores among university students and will be useful to develop a nutrition education program for those who are more prone to consume convenience foods.

• 정보처리학회논문지D
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• 제17D권4호
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• pp.253-258
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• 2010

지금까지의 빈발 패턴(Frequent Pattern) 마이닝에서는 각 항목들의 중요도(Weight)는 모든 같은 값으로 다루어 왔으나 실 환경에서는 각 항목들의 중요도가 다르게 적용되는 경우가 많이 있고 또 같은 항목이라도 시간에 따라 다른 중요도 값으로 다루어져야 할 경우가 있다. 비즈니스 데이터 분석 환경이나 웹 클릭 데이터 분석 환경과 같은 응용에서도 동적으로 변하는 중요도를 고려하여야 한다. 지금까지 항목의 중요도를 고려하는 여러 패턴 마이닝 기법들이 제안되고 있으나 동적으로 변하는 항목의 중요도를 고려하는 연구는 발표되지 않고 있다. 본 논문에서는 처음으로 동적인 항목들의 중요도(혹은 가중치)를 고려하는 빈발 패턴 마이닝 알고리즘을 제안한다. 제안하는 기법은 단 한번의 데이터베이스 스캔으로 처리되므로 스트림 데이터를 분석할 수 있다. 여러 실험을 통하여 제안하는 기법은 매우 효과적이며 확장성이 좋은 것임을 보인다.

• Nutrition Research and Practice
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• 제5권2호
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• pp.124-131
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• 2011

Because excessive consumption of sugar-sweetened beverages may reduce the quality of nutritional intake, this study examined the consumption patterns of commercial beverages, lifestyle, dietary habits, and perception of sweet taste. Participants were 407 male university students in Kyeooggido, Korea, and information was collected by self-administered questionnaire. Among them, 58 nonsmokers volunteered to participate in the taste test. Participants were divided into three groups according to the frequency of commercial beverage consumptions: 120 rare (< 1 serving/week), 227 moderate (1-3 servings/week) and 133 frequent (> 3 servings/week) consumption groups. More subjects from the rare consumption group chose water, tea, and soy milk, and more from the frequent consumption group chose carbonated soft drinks and coffee (P=0.031) as their favorite drinks. Frequent consumption group consumed fruit juice, coffee, and sports and carbonated soft drinks significantly more often (P=0.002, P=0.000, P=0.000, respectively), but not milk and tea. Frequent consumption group consumed beverages casually without a specific occasion (P=0.000) than rare consumption group. Frequent drinking of commercial beverages was associated with frequent snacking (P=0.002), meal skipping (P=0.006), eating out (P=0.003), eating delivered foods (P=0.000), processed foods (P=0.001), and sweets (P=0.002), and drinking alcoholic beverages (P=0.029). Frequent consumption group tended to have a higher threshold of sweet taste without reaching statistical significance. The results provide information for developing strategies for evidence-based nutrition education program focusing on reducing consumption of unnecessary sugar-sweetened commercial beverages.

• 한국산학기술학회논문지
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• 제10권8호
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• pp.1998-2004
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• 2009

다양한 저장 장치의 발달과 네트워크의 발전은 대용량의 데이터를 연속적으로 빠르게 생성한다. 데이터 스트림에서의 데이터 마이닝은 처리 시간 및 메모리 사용에 제한적이다. 또한 생성된 데이터를 한 번의 스캔으로 유용한 패턴을 발견할 수 있어야 하고 정보 변화 가능성이 큰 데이터 속성을 갖는 경우 최근의 정보를 반영한 빠른 분석이 가능해야 한다. 기존의 지지도 기반 마이닝 방법들은 일정 기간 동안 미리 정의된 지지도 이상의 빈발 항목에 대하여만 고려하므로 중요도가 높은 항목들을 간과하는 문제점을 가지고 있다. 본 논문에서는 시간의 변화에 따른 가변성을 고려하여 가중치 지지도를 갖는 데이터 항목들에 대하여 보다 의미 있는 정보를 제공하기 위한 효율적인 빈발패턴 추출 방법을 제안하고자 한다. 제안된 WSFI-Mine(Weighted Support Frequent Itemsets Mine) 방법은 DCT(Data Stream Closed Pattern Tree) 데이터 구조를 이용하여 패쇄 빈발 항목을 탐사한다. 제안된 알고리즘은 DSM-FI와 THUI-Mine 알고리즘과 지지도 변화에 따른 성능을 비교하였고 그 결과 비교 알고리즘 보다 수행 시간이 우수함을 보였고, 빈발 항목을 생성하는 후보 항목의 수를 줄이므로 메모리 사용량을 효율적으로 사용할 수 있음을 보였다.