• Title/Summary/Keyword: causal explanation

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Model Structure for Mother-Child Relationship for Korean Infants and Toddlers and Their Mothers (한국 영유아와 어머니의 모아상호작용 구조모형)

  • Park, Sun-Jung;Kang, Kyung-Ah;Kim, Shin-Jeong
    • Child Health Nursing Research
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    • v.23 no.3
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    • pp.268-278
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    • 2017
  • Purpose: The purpose of this study was to set up a hypothetical model to explain causal relationships among influential variables in the mother-child relationship for Korean infants and toddlers and their mothers. The research was based on Barnard's (1978) mother-child relations model, and goodness-of-fit was examined. Methods: The participants were 207 mothers with infants or toddlers. Data were analyzed using SPSS and AMOS programs. Results: Regarding the influence of the variables on the mother-child relationship between infants and toddlers and their mothers, social support had a 75% explanation of mother-child relationships, and attachment had a 58% explanation of social support. Attachment had both direct and indirect effects on the mother-child relationships, and social support had direct and total effects on the mother-child relationships. Among child-related variables, child temperament had a moderating effect on the mother-child relationships. Conclusion: The findings indicate that the model has utility in developing effective nursing intervention methods to boost mother-child relationships between infants and toddlers and their mothers.

Analytical Studies on Medical Utilization Behaviors in Rural Areas (농촌지역주민의 의료이용행위에 영향 주는 자극요인분석)

  • 김영임
    • Journal of Korean Academy of Nursing
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    • v.15 no.2
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    • pp.5-15
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    • 1985
  • This study was conducted for the purpose of fin-ding out the variance explaining the medical facilities utilization behavior, which is defined adaptation behavior Process by focal, contextual, residual stimuli in Roy's Adaptation Model. What kinds of characteristics can explain adaptation behavior in Roy's Model? And which is the relative importance of input variables? For this analysis, stepwise multiple regression and path analysis was used. The data come from the 1981 Baseline Household Interview Survey in remote rural area. The findings of the analysis can be summarized as follows: First, Total variance of independant variables for adaptation behavior, that is medical facilities utilization including clinic, drug store, health center, herb medicine was shown 16.2 percent. The most important variable which explain the dependent variable was the occurance of illness with the Ra of value 0.112. The illness symptom, living level, regular care source was shown important variables with relatively high the R²value and significant beta coefficient. Second, in the path analysis of variables which is selected important variables, the occurance of illness was shown variable which has the highest direct effect which 0.297 path coefficient. Also the education level of household was shown variable which has the highest indirect effect through living level and the occurance of illness in causal model. Third, This analysis suggests that the occurance of illness belonging focal stimuli are more influenced than others. To sum up, It is seem to the occurance of illness, illness symptom belonging focal stimuli have high explanation ability through direct effect, education level of household among contextual stimuli have explanation ability through indirect effect.

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A Breach of Medical Contract and Consolation Money (의료계약상 채무불이행과 위자료)

  • Bong, Youngjun
    • The Korean Society of Law and Medicine
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    • v.14 no.2
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    • pp.217-260
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    • 2013
  • In connection to the civil liability of the medical malpractice, plaintiff and courts are solving the medical disputes with theory of the liability based on tort law. because contract law does not enact the right of claim of solatium and a plaintiff's lawyer and courts hesitate to use contract law. Medical treatment of doctor is main debt in medical contract and its in-complete performance gives rise to the violations of human's life, body and health. Consequently a breach of medical contract leads to violations of person-al rights. These violations spring from liability of contract as well as tort and damages from them are recognized based on medical contract law. A duty of explanation of doctor is a independent and appendant debt to the treatment debt. However its breach provokes violations of human's life, body and health as well as a right self-determination. Therefore consolation money claim should be recognized. In case of the violation of patient's life, body and health, patient's family al-so can demand consolation money due to the violation of their's own mental pain. However in case of the violation of only patient's self-determination without informed concent, they can not demand it by reason of the violation of patient's self-determination. But by reason of the violation of patient's life, body and health that were recognized by proximate causal relation between violation of duty of explanation and abd execution, they can do.

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Review of 2014 Major Medical Decisions (2014년 주요 의료판결 분석)

  • Jeong, Hye Seung;Lee, Dong Pil;Yoo, Hyun Jung;Lee, Jung Sun
    • The Korean Society of Law and Medicine
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    • v.16 no.1
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    • pp.155-190
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    • 2015
  • The court sentenced meaningful decisions related to the medical service in 2014. The court assumed the negligence of medical staff in the accident if being broken while using the medical equipment for not an original purpose at the time of surgery and ruled that the compensation for damage can be recognized in recognition of the causal relationship between the explanation duty violation and side effect's happening when unproven surgery on safety is implemented regarding the duty of explanation, that in the case of cosmetic surgery, the subject on the duty of explanation needs to be expanded compared to the general medical practice and that the duty of explanation cannot be accepted for the range that cannot be expectable. Also, the court has provided the requirement and limitation of self-determination exercise in case of the crash between patient's self-determination and doctor's duty of care and has ruled that as automobile insurance contract is a contract with the insurance company to pay regarding liability for car accidents, treating patients and taking the insurance money is not illegal activity even for the unlicensed hospital violating the medical law while established. The judgment stating the opinion that medical practitioners cannot be punished according to the medical law prohibiting the receiving of rebate in case that medical practitioners did not receive benefit while the medical institution itself gained an unfair economic benefit also stands out. And the court has ruled that even if the medical institution who received a business suspension is closed, the suspension is still effective in case that the same operator opens a new medical institution in the same place, ruled on the requirement to conduct a medical service outside of the medical institution that the doctor opened and ruled that the administrative penalty cannot be conducted prior to the conviction on charge of violating the medical law.

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An Analysis of IT Proposal Evaluation Results using Big Data-based Opinion Mining (빅데이터 분석 기반의 오피니언 마이닝을 이용한 정보화 사업 평가 분석)

  • Kim, Hong Sam;Kim, Chong Su
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.1
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    • pp.1-10
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    • 2018
  • Current evaluation practices for IT projects suffer from several problems, which include the difficulty of self-explanation for the evaluation results and the improperly scaled scoring system. This study aims to develop a methodology of opinion mining to extract key factors for the causal relationship analysis and to assess the feasibility of quantifying evaluation scores from text comments using opinion mining based on big data analysis. The research has been performed on the domain of publicly procured IT proposal evaluations, which are managed by the National Procurement Service. Around 10,000 sets of comments and evaluation scores have been gathered, most of which are in the form of digital data but some in paper documents. Thus, more refined form of text has been prepared using various tools. From them, keywords for factors and polarity indicators have been extracted, and experts on this domain have selected some of them as the key factors and indicators. Also, those keywords have been grouped into into dimensions. Causal relationship between keyword or dimension factors and evaluation scores were analyzed based on the two research models-a keyword-based model and a dimension-based model, using the correlation analysis and the regression analysis. The results show that keyword factors such as planning, strategy, technology and PM mostly affects the evaluation result and that the keywords are more appropriate forms of factors for causal relationship analysis than the dimensions. Also, it can be asserted from the analysis that evaluation scores can be composed or calculated from the unstructured text comments using opinion mining, when a comprehensive dictionary of polarity for Korean language can be provided. This study may contribute to the area of big data-based evaluation methodology and opinion mining for IT proposal evaluation, leading to a more reliable and effective IT proposal evaluation method.

An Extension Technique of Comparative Analysis based on Qualitative Model (정성적 모델에 기초한 비교분석의 확장 기법)

  • Kim, Hyeon Kyeong
    • Journal of Intelligence and Information Systems
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    • v.12 no.4
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    • pp.51-60
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    • 2006
  • The goal of qualitative analysis is to capture and formalize qualitative and intuitive knowledge about physical world. Qualitative reasoning has been successfully applied to electric and mechanical mechanism domains, in which most of reasoning has focused on simulation. This paper introduces a qualitative comparative analysis technique which predicts how a change in a given situation propagates. We developed a comparative analysis technique which extends previous research by including a reasoning technique about the relative rate of the change of a parameter. Previous research focuses only on the relative change of a parameter. Causal model for the given situation is generated from qualitative domain model. The propagation by the change in causal relations are traced by applying our comparative analysis. By providing explanation as well as prediction for the given change, our technique is expected to be used in design, diagnosis, intelligent tutoring system, environmental evaluation.

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A Study on the Urban Housewives따 Green-Consumption Behavior towards their value-Orientation (도시주부의 가치성향에 따른 녹색소비 행동에 관한 연구)

  • 계선자;강기정
    • Journal of Family Resource Management and Policy Review
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    • v.2 no.1
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    • pp.103-117
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    • 1998
  • The purpose of this study were (1)to investigate the housewives’value orientation toward environmental effect, (2)to examine the effect of environments and value-orientation on housewives’green-consumption behavior and (3)to analyze the hypothesized causal direct or indirect explanation effect among the housewives’green-consumption behavior. The 310 subjects of this study were selected from housewives lived in Seoul. The data obtained were analyzed by Mean, Pearson’s correlation, and Stepwise Multiple Regression Analysis. The major results were as follows: 1) The mean score of housewives’value-orientation was 4.45 out of 5. The value-orientation of housewives was affected by the following variables in order to: environmental pollution and participation I community organization. 2) The mean score of housewives’green-consumption behavior was 3.62 out of 5. The housewives’green-consumption behavior was affected by the following variables in order : value orientation, environmental knowledge, participation in community organization, mass media and recycling system. 3) The most influential variables on the housewives’ green-consumption behavior were in the rank of the value orientation(R²=.39). mass meia(R²=.11). and environmental knowledge(R²=.07).

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Domain Knowledge Incorporated Counterfactual Example-Based Explanation for Bankruptcy Prediction Model (부도예측모형에서 도메인 지식을 통합한 반사실적 예시 기반 설명력 증진 방법)

  • Cho, Soo Hyun;Shin, Kyung-shik
    • Journal of Intelligence and Information Systems
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    • v.28 no.2
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    • pp.307-332
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    • 2022
  • One of the most intensively conducted research areas in business application study is a bankruptcy prediction model, a representative classification problem related to loan lending, investment decision making, and profitability to financial institutions. Many research demonstrated outstanding performance for bankruptcy prediction models using artificial intelligence techniques. However, since most machine learning algorithms are "black-box," AI has been identified as a prominent research topic for providing users with an explanation. Although there are many different approaches for explanations, this study focuses on explaining a bankruptcy prediction model using a counterfactual example. Users can obtain desired output from the model by using a counterfactual-based explanation, which provides an alternative case. This study introduces a counterfactual generation technique based on a genetic algorithm (GA) that leverages both domain knowledge (i.e., causal feasibility) and feature importance from a black-box model along with other critical counterfactual variables, including proximity, distribution, and sparsity. The proposed method was evaluated quantitatively and qualitatively to measure the quality and the validity.

Factors on the Types of Leisure Activity Participation for the Disabled persons in Korea (내 장애인의 여가활동 참여유형에 관한 요인)

  • Lim, Young-Myoung;Cha, Tae-Hyun
    • Journal of the Korea Convergence Society
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    • v.9 no.8
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    • pp.293-299
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    • 2018
  • The purpose of this study was to verify the effect of leisure barriers on participation type of leisure activities in disabled in Korea. The raw data variable of '2014 Disabled People Status Survey' were categorized as internal/external barriers and leisure type. The type of participation in leisure activities according to general characteristics was performed descriptive statistics and Pearson correlation and multiple regression analyses were conducted to examine the correlation and causal relationships of types of internal/external constraints and leisure activity participation. The element that effects on a level of current passive leisure activity type, it resulted as two variables of internal barriers, three variables of external barriers, the explanation ability was analysed as to 48%. it resulted as two variables of internal barriers, five variables of external barriers in active leisure activity, five variables of external barriers, the explanation ability was analysed as to 29%. Therefore, based on various constraints of disabled people in Korea, a plan should be prepared to encourage participation of leisure activity, and systematic review and detailed study on two academic subjects related to leisure and disability should be done.

A Study on the Effect of Waiting Time factor of Hospitals on Customer Satisfaction and Service Values (의료서비스의 대기시간 요인이 고객만족과 서비스 가치에 미치는 영향)

  • Kim, Il-Kwon;Kwon, Chang-Ik;Yang, Jong-Hyun;Chang, Dong-Min
    • Korea Journal of Hospital Management
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    • v.15 no.3
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    • pp.47-68
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    • 2010
  • One of the important complaint factors by the patients using medical institutions is various kinds of waiting time. This research is about the causal relationships among waiting time(application of waiting time, perceived of waiting time, fairness of waiting, explanation of the delay, acceptance possibility), service values, and customer satisfaction. The subjects for this study were 256 out-patients currently using seven general hospitals in the Busan area. The findings of the empirical analysis are as follows: First, the good application of waiting time or fair waiting time procedure didn't actually affect perceived waiting time. Second, though the application of waiting time didn't affect acceptance possibility, the fair procedure of waiting time had an affirmative effect on acceptance possibility. Third, even when there was enough explanation about the need to wait, it could shorten perceived waiting time but failed to get sufficient sympathy or agreement from the patients. Fourth, the possibility of acceptance following the sufficient sympathy of patients had an effect on shortening perceived waiting time. Fifth, perceived waiting time lowered customer satisfaction, but had no negative effect on service values. Finally, the ranges of acceptance possibility by the patients were found to increase customer satisfaction and maximize service values. In conclusion, every medical institution needs to focus on, first of all, shortening waiting time for more customer satisfaction and improved service values.

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