• The Korean Society of Law and Medicine
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• v.15 no.2
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• pp.435-459
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• 2014

Supreme Court of Korea has been mitigating the burden of proof on the malpractice and causal relation by a patient in accordance with the practical transfer of such burden of proof on causal relation as well as relieving a doctor's burden of proof on mistake in the civil damage claim suits on the malpractice. However, a prosecutor shall strictly prove the causal relation between malpractice and unfavorable results as well as a doctor's mistake in the criminal cases for making a doctor accept the professional negligence resulting in death or injury in accordance with In Dubio Pro Reo principles. Furthermore, it shall not be allowed to relieve the burden of proof on malpractice and causal relation which has been frequently applied in the civil proceedings. Nevertheless, it was widely known that the front-line courts accepted the malpractice and causal relation by quoting the legal principles on relieving the burden of proof on malpractice and causal relation applied in the civil cases even in criminal cases with no or insufficient proof on malpractice or causal relation. However, the latest precedents in Supreme Court explicitly declared the opinion that there was no reason to apply the legal principle to relieve the burden of proof on the malpractice and causal relation in the criminal cases requiring the proof 'which doesn't cause any reasonable doubt' on malpractice and causal relation in accordance with the legal principles 'favorable judgment for a defendant in case of any doubt' on the basis of the strict principle of 'nulla poena sine lege.' Accordingly, Supreme court definitely clarified that there would be no reason to relieve the burden of proof on malpractice and causal relation in criminal cases by reversing several original judgments accepting malpractice and causal relation even though there were no strict evidence.

• Journal of KIISE:Software and Applications
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• v.35 no.5
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• pp.335-346
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• 2008

Causal relations in ontology should be defined based on the inference types necessary to solve problems specific to application as well as domain. In this paper, we present a model to define and extract causal relations for application ontology for Question-Answering (QA) on fault-diagnosis of electronic devices. Causal categories are defined by analyzing generic patterns of QA application; the relations between concepts in the corpus belonging to the causal categories are defined as causal relations. Instances of casual relations are extracted using lexical patterns in the concept definitions of domain, and extended incrementally with information from thesaurus. On the evaluation by domain specialists, our model shows precision of 92.3% in classification of relations and precision of 80.7% in identifying causal relations at the extraction phase.

• Knowledge Management Research
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• v.10 no.2
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• pp.35-48
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• 2009

The paper proposes a quantitative causal ordering map (QCOM) to combine qualitative and quantitative methods in a framework. The procedures for developing QCOM consist of three phases. The first phase is to collect partially known causal dependencies from experts and to convert them into relations and causal nodes of a model graph. The second phase is to find the global causal structure by tracing causality among relation and causal nodes and to represent it in causal ordering graph with signed coefficient. Causal ordering graph is converted into QCOM by assigning regression coefficient estimated from path analysis in the third phase. Experiments with the prediction model of Korea stock price show results as following; First, the QCOM can support the design of qualitative and quantitative model by finding the global causal structure from partially known causal dependencies. Second, the QCOM can be used as an integration tool of qualitative and quantitative model to offerhigher explanatory capability and quantitative measurability. The QCOM with static and dynamic analysis is applied to investigate the changes in factors involved in the model at present as well discrete times in the future.

• Journal of muscle and joint health
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• v.9 no.2
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• pp.187-202
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• 2002

This study was aim to provide rheumatoid arthritis patients the basic data of development of nursing intervention to help psychosocial adaptation of rheumatoid arthritis patients as exploring the relationship among causal perception, coping pattern, psychosocial adaptation of rheumatoid arthritis. As the results of this study the mean score of causal perception of the subjects was 3.37. The score of the internal-unstable was the highest. which was followed by extra-stable, internal factor, internal-stable, external factor and external-unstable in order among the factor of causal perception. The mean score of coping pattern was 2.64. The type of coping patterns the score of the receptive coping was the highest, which was followed by wishful coping active coping and negative coping in order among the type of coping pattern. The mean score of psychosocial adaptation was 3.28. The subconcept of psychosocial adaptation the score for personal relationship was the highest, which was followed by role function and mental state in order among the psychosocial adaptation. The analysis of the relation among causal perception, coping pattern and psychosocial adaptation showed significant negative correlation between causal perception and psychosocial adaptation(r=-0.3219, P=0.002). The analysis of the relation between the type of coping pattern and psychosocial adaptation showed significant negative correlation between psychosocial adaptation and active coping(r=-0.3210, P=0.002), negative coping(r=-0.2296, P=0.032). Only causal perception(-.36) and period of illness(-.26) effected on the psychosocial adaptation were shown to the negative direction significantly. The psychosocial adaptation was explained the 17% by these two variables. Based on this study results the factor of causal perception and the type of coping pattern of rheumatoid arthritis were shown significant relations between psychosocial adaptation. We suggests that nurses in practice apply to assessing the factor of causal perception of individuals illness and the type of coping patterns when nursing interventions in rheumatoid arthritis patients.

• Korean System Dynamics Review
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• v.6 no.1
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• pp.5-15
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• 2005

This paper investigates psychological differences between constructors and interpreters of causal maps. This paper argues that dissipation effects and dilution effects applies to those who are to interpret causal maps not to those who construct them. Dissipation effects are psychological tendency that people perceive causal effect as weak as the number of causal links increases. Dilution effects occur when people undervalue the strength of causal relation as the number of causal variables increases. Experimental results show that concentration effects opposite to the dissipation effects and dilution effects explain more correctly the perception of constructors of causal maps. This paper points out that this asymmetric psychological tendencies between constructors and interpreters of causal maps is the psychological source of the communication problems between systems thinkers and their clients.

• Journal of the Korea Society of Computer and Information
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• v.5 no.2
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• pp.143-151
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• 2000

The purpose of this study is to suggest usefulness of causal relation analysis about categorical data to business administration and other social sciences. Some examples of their application are presented.

• Journal of Korean Academy of Nursing
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• v.31 no.2
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• pp.232-243
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• 2001

When people undergo stressful situations such as a cancer diagnosis, they ask, "why me\ulcorner" The causal attributions people make about cancer influence what kind of coping strategies are chosen. Weiner (1979) suggested three dimensions of causal attributions: focus of causality, stability, and controllability. The purpose of the present study was to test the relation between causal attributions and self-efficacy in patients with cancer. The subjects were 194 patients who had been diagnosed cancer one year ago and attended an outpatient clinic. 1. Each mean score of causal attribution dimensions (focus of control, stability, controllability) that each patient made about cancer was 2.47, 2.73, 2.86, 3.35, and 3.28. The mean score of self-efficacy was 71.03. 2. There was a significant negative correlation between self efficacy and controllability. Particularly, there was a significant negative relationship between self efficacy and external controllability. Based upon these results, it is recommended that the developing nursing interventions to change causal attribution and self-efficacy is necessary. A number of theoretical relationships and empirical finding are confirmed by this data, and future proposals in research is suggested.

• Korean Journal of Logic
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• v.18 no.1
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• pp.83-133
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• 2015

In this paper, I pose a problem for Hitchcock's arguments for two concepts of effects that are intended to explicate double causal effects, and put forth a theory that is intended not just to meet the problem but also to accommodate Hitchcock's theory and Eells' theory both. First, I introduce an example of dual causal effects, and examine the accounts of Otte(1985) and Eells(1987) on how to explicate the dual effects. I show that their accounts of the dual effects help us understand the problem of dual effects and see how different it is for Cartwright(1979, 1989, 1995), Eells(1991, 1995), and Hitchcock(2001a) to meet the problem. Second, I introduce two concepts of effects on Hitchcock(2001a), that is, net effect and component effect that are allegedly analogous to two effects of structural equation model. Third, I reveal the significance of homogeneous subpopulation and causal interaction regarding the problem of dual effects while examining Cartwright's theory and Elles' theory. Fourth, I critically examine the two concepts of effects on Hitchcock and argue against Hitchcock's criticism of Eells' theory. Fifth, I take a moderator variable of structural equation model and a moderator effect into the probabilistic theory of causality, and formally generalize causal interaction due to the dual effects in terms of disjunctive relation and counterfactual conditionals. I expect my account of disjunctive relation and counterfactual conditionals to contribute not just to several problems the received theories of causal modelling confront but also to the structural equation models many people exploit as a promising statistical methodology.

• Korean Journal of Logic
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• v.18 no.2
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• pp.265-289
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• 2015

The idea that an effect counterfactually depends on its cause is simple and intuitive. However, this simple idea runs into various difficulties. The active route account, in order to avoid the difficulties, analyzes causation in terms of counterfactual dependence under certain control. In her recent article, Seahwa Kim criticizes Sungsu Kim's earlier attempt to defend the active route account from its counterexamples. Her criticisms are convincing, and defenders of the active route account or counterfactual analysis of causation in general need another defense. In response, a two-step defense is proposed. First, the scope of the active route account is restricted to 'proximate' causal relation. Second, a control over factors that are in proximate causal relation is offered to figure out 'distant' causal relation. The result is that with proper control, an effect indeed counterfactually depends on its cause.

• Journal of Advanced Marine Engineering and Technology
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• v.20 no.1
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• pp.13-23
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• 1996

Weld defects degrade the strength and safety of astructure and are resulted from the various cases. The complexity of causal relation of weld defects requires an expert for the analysis of weld defects and the measures counter to them. An expert system has the intelligent functions such as the representation of knowledge and the inference. On this research, weld defect are systematically analysed and their causal model is developed. This information is saved to the knowledge base. The suitable inference algorithm for the diagnosis of weld defects is developed and realized with C++ programming.