• 근관절건강학회지
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• 제11권2호
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• pp.165-175
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• 2004

Purpose: To describe the psychosocial adaptation, physical disability and social support, and to examine whether the physical disability and social support influence the psychosocial adaptation of women with Rheumatoid Arthritis(RA). Method: This survey was conducted with 102 women diagnosed as RA using a structured survey tool between April 12th and 30th 2004. Results: The Physical disability ranged from 0 to 51, the average was 9.89(${\pm}12.15$), appearing that less severe than previous studies. The social support ranged from 29 to 168, and the average was 91.73(${\pm}31.44$). The age, marital status, and monthly income were associated with patient's perceived social support. The psychosocial adaptation ranged from 77 to 186 and the average was 132.12(${\pm}24.13$). Entering physical disability and social support into the model significantly improved the prediction of psychosocial adaptation: 45.1% of the variance of psychosocial adaptation was attributed by the physical disability (Beta=-.325) and the social support (Beta=.204). Additionally, the religion (Beta=.231) and monthly income (Beta=.381) were significant predictors of the psychosocial adaptation. Conclusions: (1) Programs to improve physical disability of the clients are needed. (2) Marital status and age should be considered when the programs are developed. (3) More social support should be provided to the women with RA. (4) Adequate financial support is essential for the psychosocial adaptation of women with RA.

• Journal of Preventive Medicine and Public Health
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• 제48권1호
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• pp.1-9
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• 2015

The purpose of the present review is to give an overview of the association between alcohol intake and the risk of developing cancer. Two large-scale expert reports; the World Cancer Research Fund (WCRF)/American Institute of Cancer Research (AICR) report from 2007, including its continuous update project, and the International Agency for Research of Cancer (IARC) monograph from 2012 have extensively reviewed this association in the last decade. We summarize and compare their findings, as well as relate these to the public health impact, with a particular focus on region-specific drinking patterns and disease tendencies. Our findings show that alcohol intake is strongly linked to the risk of developing cancers of the oral cavity, pharynx, larynx, oesophagus, colorectum (in men), and female breast. The two expert reports diverge on the evidence for an association with liver cancer and colorectal cancer in women, which the IARC grades as convincing, but the WCRF/AICR as probable. Despite these discrepancies, there does, however, not seem to be any doubt, that the Population Attributable Fraction of alcohol in relation to cancer is large. As alcohol intake varies largely worldwide, so does, however, also the Population Attributable Fractions, ranging from 10% in Europe to almost 0% in countries where alcohol use is banned. Given the World Health Organization's prediction, that alcohol intake is increasing, especially in low- and middle-income countries, and steadily high in high-income countries, the need for preventive efforts to curb the number of alcohol-related cancers seems growing, as well as the need for taking a region- and gender-specific approach in both future campaigns as well as future research. The review acknowledges the potential beneficial effects of small doses of alcohol in relation to ischaemic heart disease, but a discussion of this lies without the scope of the present study.

• 한국산학기술학회논문지
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• 제17권2호
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• pp.171-178
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• 2016

본 연구 목적은 장애아동부모의 사회적지지, 가족건강성 및 우울을 설명하고 예측하는 구조모형을 구축하는데 있다. 연구대상자는 2014년 8월부터 9월까지 D시에 소재한 재활병원 3곳에서 외래재활치료를 받고 있는 141명의 장애아동부모를 대상으로 하였다. 연구도구는 QRS, CES-D, MSPSS, 한국형 가족건강성 척도(KFSS-II)를 사용하였다. 그 결과, 장애아동부모들의 우울정도는 20.18/60점이며, 성별, 나이, 월수입에서 유의한 차이를 보였다. 사회적 지지와 가족건강성의 문항평균은 각각 3.11/5점과 3.32/5점이었다. 가족건강성은 월수입에 따라 차이가 있었다. 장애아동부모의 우울은 사회적지지, 가족건강성과는 음의 상관관계가 있었고, 사회적지지와 가족건강성은 양의 상관관계가 있었으며, 사회적지지와 가족건강성은 우울을 설명하고, 예측하는데 있어 중요한 요인임을 확인하였다. 즉 장애아동부모의 우울을 예방하기 위한 간호전략으로서 가족건강성과 사회적지지를 향상시키는 프로그램 개발이 필요함을 알 수 있었다.

• 한국전자거래학회지
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• 제23권3호
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• pp.207-224
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• 2018

온라인 P2P 대출(Online Peer-to-Peer Lending)이란 대출자(차입자)들이 인터넷 및 모바일 P2P 플랫폼을 통해 대출을 신청하면 P2P 플랫폼 기업이 이를 심사하고, 공개하여 불특정 다수가 자금을 빌려주고 이자를 받는 대출중개 서비스를 말한다. 국내외적으로 P2P 대출시장의 성장과 수익률에 대한 관심이 커진 상황에서 현재는 P2P 대출에 대한 안정성 측면에서 문제가 제기되고 있다. P2P 대출시장은 높은 수익률을 제공하지만 P2P 업체의 연체율과 부실률(채무불이행률)도 함께 높아지고 있는 실정이다. P2P 금융시장의 신뢰도를 높이기 위해서는 P2P 대출의 연체율과 채무불이행률을 줄이는 것이 무엇보다 중요하다. 본 연구는 세계적인 P2P 기업인 렌딩클럽(Lending Club)의 P2P 대출거래데이터베이스를 이용하여 인공지능기반의 P2P 채무불이행 예측모형을 구축하고자 한다. 구체적으로 벤치마크(benchmark) 모형으로 통계기법인 판별분석과 로지스틱 회귀분석을 이용하고, 인공지능기법으로는 신경망, CART, 그리고 C5.0을 이용하여 P2P 대출거래의 채무불이행 예측모형을 구축하고자 한다. 연구결과, P2P 대출거래의 채무불이행 예측을 위해 우선 고려해야 할 변수는 대출이자율이며, 중요도 3순위에 가장 많이 언급된 대출금액과 총부채상환비율도 고려해야 할 요인으로 추출되었다. 전통적인 통계기법보다는 인공지능기법의 예측성과가 더 좋은 것으로 나타났으며, 신경망의 경우 모든 데이터 셋에서 오분류율이 가장 낮은 예측모형으로 나타났다.

• 인터넷정보학회논문지
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• 제23권4호
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• pp.45-55
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• 2022

암호화폐 시장의 규모는 날이 갈수록 커져가고 있으며, 대표적인 암호화폐인 비트코인의 경우 시가총액이 500조를 넘어섰다. 이에 따라 암호화폐의 가격을 예측하려는 연구도 많이 이루어졌으며, 이들은 대부분 주식가격을 예측하는 방법론과 유사성을 띄는 연구들이다. 하지만 선행연구를 비춰 봤을 때 주식가격예측과 달리 암호화폐 가격 예측은 머신러닝의 정확도가 우위에 있는 사례가 많다는 점, 개념적으로 주식과 달리 암호화폐는 소유로 인한 수동적 소득이 없다는 점, 통계적으로 시가총액 대비 하루 거래량의 비율을 살펴봤을 때 암호화폐가 주식 대비 최소 3배이상 높다는 점이 도출되었다. 이를 통해 암호화폐 가격 예측 연구에는 주식 가격 예측과 다른 방법론이 적용되어야 함을 본 논문에서 주장하였다. 우리는 기존에 주가 딥러닝 예측에 사용되던 워크 포워드 검증를 응용한 역순 워크 포워드 검증을 제안하였다. 역순 워크 포워드 검증은 워크 포워드 검증과 달리 검증 데이터셋을 테스트 데이터셋에 시계열상으로 바로 앞에 부분으로 고정시켜놓고, 훈련데이터를 훈련 데이터셋에 시계열상으로 바로 앞 부분부터 서서히 훈련 데이터셋의 크기를 늘려가면서 검증에 대한 정확도를 측정한다. 측정된 모든 검증 정확도 중 가장 높은 정확도를 보이는 훈련 데이터셋의 크기에 맞춰서 훈련 데이터를 절삭시킨 뒤 검증 데이터와 합쳐서 실험 데이터에 대한 정확도를 측정하였다. 분석모델로는 로지스틱 회귀분석과 SVM을 사용했으며, 우리가 제안한 역순 워크 포워드 검증의 신뢰성을 위해서 분석 모델 내부적으로도 L1, L2, rbf, poly등의 다양한 알고리즘과 정규화 파라미터를 적용하였다. 그 결과 모든 분석모델에서 기존 연구보다 향상된 정확도를 보임이 확인되었으며, 평균적으로도 1.23%p의 정확도 상승을 보였다. 선행연구를 통해 암호화폐 가격 예측의 정확도가 대부분 50%~60%사이에서 머무르는 걸 감안할 때 이는 상당한 정확도 개선이다.

• 한국정보시스템학회지:정보시스템연구
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• 제29권2호
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• pp.287-306
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• 2020

Purpose Youth unemployment is a social problem that continues to emerge in Korea. In this study, we create a model that predicts the employment of college graduates using decision tree, random forest and artificial neural network among machine learning techniques and compare the performance between each model through prediction results. Design/methodology/approach In this study, the data processing was performed, including the acquisition of the college graduates' vocational path survey data first, then the selection of independent variables and setting up dependent variables. We use R to create decision tree, random forest, and artificial neural network models and predicted whether college graduates were employed through each model. And at the end, the performance of each model was compared and evaluated. Findings The results showed that the random forest model had the highest performance, and the artificial neural network model had a narrow difference in performance than the decision tree model. In the decision-making tree model, key nodes were selected as to whether they receive economic support from their families, major affiliates, the route of obtaining information for jobs at universities, the importance of working income when choosing jobs and the location of graduation universities. Identifying the importance of variables in the random forest model, whether they receive economic support from their families as important variables, majors, the route to obtaining job information, the degree of irritating feelings for a month, and the location of the graduating university were selected.

• 한국조리학회지
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• 제6권2호
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• pp.135-155
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• 2000

The main purpose of this study is to investigate the factors affecting customer satisfactions toward the italic restaurants of hotels. Especially, the role of menu-related factors is elaborated. Based on the previous research findings, the following hypotheses were proposed and tested. First, customer evaluations of the factors related to the service of italic hotel restaurants wi11 show differences, depending upon demographics. The results found are as follows. Concerning the seasonality and variety of menu, customer evaluations differed by gender. Depending on age groups, customer evaluations differed for the communicative quality of menu, the restaurant atmosphere, the employee service level, and the food taste. By the type of occupations, there were differences in customer evaluations of the communicative quality of menu, the employee service level, and tie food taste. By the education levels, there were differences in the evaluations toward the seasonality and variety of menu, the restaurant atmosphere, the employee service level, and the food taste, Finally. concerning the restaurant atmosphere and the food taste, customer evaluations differed by their income levels. Second, the employee service level, the seasonality and variety of menu, the communicative quality of menu, the restaurant atmosphere, and the food taste are predicted to significantly affect customer satisfactions, My results were consistent with this prediction except for that the communicative quality of menu did not significantly affect customer satisfactions. Regarding the role of menu-related factors in customer satisfactions, my finding implies the importance of updating the menu, providing the variety and reflecting the seasonality. The more studies, however, should be needed to explore the various roles of menu-related factors in restaurant customer satisfactions.

• 간호행정학회지
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• 제20권5호
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• pp.558-566
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• 2014

Purpose: This study was done to measure the level of social support, self-esteem, and empowerment and to identify any effect of social support and self-esteem on the empowerment of nurses. Methods: The study design was a descriptive survey using questionnaires which were given to 381 nurses in C province. The collected data were analyzed using descriptive analysis, t-test, ANOVA, Pearson correlation coefficient, and multiple regressions. Results: The mean score for nurses' empowerment was $2.83{\pm}0.66$. Seven individual characteristics, social support(family, meaningful persons, supervisors, and co-workers) and self-esteem accounted for 23.3% of the variance in nurses' empowerment. Prediction elements influencing empowerment of nurses were salary per month, self-esteem, and social support(supervisors). Conclusion: The results indicate that it is necessary to increase nurses' empowerment. Social support by supervisors and self-esteem were confirmed as important factors to increase nurses' empowerment. In addition, raising the monthly average income would increase empowerment of nurses.

• 수산경영론집
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• 제47권4호
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• pp.65-75
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• 2016

The purpose of this study was to analyze the production and marketing control effects of aqua-cultured flounder required for stable income growth of aqua-cultured household. We analyzed the supply and demand structure of cultured flounder using the partial equilibrium model approach. And we estimated the optimal yield of cultured flounder and analyzed the effect of marketing control through constructed model. The main results of this study are summarized as follows. First, the fitness and predictive power of the estimated model showed that the RMSPE and MAPE values were less than 5% and Theil's inequality coefficient was very close to 0 rather than 1. It was evaluated that the prediction ability of the aqua-cultured flounder supply and demand model by dynamic simulation was excellent. Second, dynamic simulation based on policy simulation was conducted to analyze the price increase effect of production and shipment control of cultured flounder. As a result, if the annual production volume is reduced by 1%, 5%, and 10% among 32,852~37,520 tons, it is analyzed that the price increase effect is from 1.2% to 12.5%. Finally, this study suggests that the production and marketing control can increase the price of aqua-cultured flounder in the market. In this paper, we propose a policy implementation of the total supply system instead of conclusions.

• 한국인공지능학회지
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• 제7권2호
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• pp.13-17
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• 2019

Currently, the sports market continues to grow every year, and among them, professional baseball's entry income is larger than the rest of the professional league. In sports, strategies are used differently in different situations, and the analysis is based on data to decide which direction to implement. There is a part that a person misses in an analysis, and there is a possibility of a false analysis by subjective judgment. So, if this data analysis is done through artificial intelligence, the objective analysis is possible, and the strategy can be more rationalized, which helps to win the game. The most popular baseball to be applied to artificial intelligence to analyze athletes' strengths and weaknesses and then efficiently establish strategies to ease the competition. The data applied to the experiment were provided on the KBO official website, and the algorithms for forecasting applied linear regression. The results showed that the accuracy was 87%, and the standard error was ±5. Although the results of the experiment were not enough data, it would be possible to effectively use baseball strategies and predict the results of the game if the amount of data and regular data can be applied in the future.