• Quality Improvement in Health Care
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• v.5 no.1
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• pp.152-165
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• 1998

Background : In this paper patient outcomes research is going to be reviewed and described, to be compared with relevant studies, and to consider the application in Korea. Methods : We compiled and reviewed the articles and materials related to patient outcomes research especially by PORT(Patient Outcomes Research Team) and rearranged them for seeking the main point and comparing with relevant studies. Results : Patient outcomes research emphasizes patient outcomes as well as conventional clinical outcomes. It is prospective study observing effectiveness in real situation instead of efficacy in ideal condition. Patient outcomes research comprises of 6 fields ; literature review and meta-analysis, use of claims data, decision modeling, outcomes assessment, cost of care, dissemination of research findings. SAA(small-area variations analysis), appropriateness study and clinical practice guideline are connected with patient outcomes research. Conclusion : In view of the fact that current medical policy in Korea is shifting its focus from accessibility to the improvement in quality and cost containment, and is stressing patient-based research, patient outcomes research is one direction for which the medicine is accountable and assessable. Considering that the number of patient receiving medical treatment in Korea is higher than the West, patient outcomes research has competitive power as against the West.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.1
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• pp.33-42
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• 2018

The purpose of this study is to suggest the shortcomings and the direction of the web accessibility evaluation studies by analyzing the research trends on web accessibility evaluation in Korea. For this aim, a total of 59 theses presented in the registered academic journal and the candidate of registration academic journals from January 2000 to March 2017 were selected. The selected dissertations have been analyzed based on the evaluators, the evaluation targets, the evaluation methods, and the evaluation results with regard to web accessibility. As a result of the analysis, the highest rate in the evaluator aspect was 'independent evaluation (66 percent)' and the highest percentage in the evaluation target aspect was 'web site (83 percent)'. When it came to the evaluation methods, automatic evaluation and the mixture of automatic evaluation and manual evaluation had a similar percentage. Lastly, only two papers showed that web accessibility did not have any problems. This study is meaningful in the sense that it suggested a desirable direction for the web accessibility studies in Korea and web accessibility evaluation studies in the situation when the meta studies which analyzed research trends are insufficient.

• Korean Journal of Veterinary Research
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• v.35 no.3
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• pp.471-480
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• 1995

The purpose of this experiment was to develop a simple and reliable HPLC method for the detection of ciprofloxacin in chicken serum and to provide a basic data on pharmacokinetic parameters after oral and intramuscular administration. The results obtained were as follows: 1. 0.2% meta-phosphoric acid: acetonitrile(7:3, v/v) solution had a high and regular recovery rates and was selected as an extraction solution. 2. The recovery rates of ciprofloxacin were 83-97% with the selected solution in chicken serum and the detection limit was 50ng/ml in serum. 3. Ka(abosorption rate constant) were 3.652 1/h in fasted group and 0.880 1/h in non-fasted group, and Ke (elimination rate constant) were 0.061 1/h and 0.133 1/h, respectively. 4. The highest concentration in serum after intramuscular injection was 840ng/ml within 15-30min and 160-324ng/ml in 1.1-3.2 hours after oral administration. 5. The time course of blood concentration fits well into a 2 compartment model. 6. On oral administration of ciprofloxacin with feed, ciprofloxacin was absorbed more slowly and the amount of absorbed was smaller than that of in fasted chickens. 7. Blood concentration of ciprofloxacin increased in a dose-dependent manner after intramusclular and oral administraiton.

• Journal of the Korea Convergence Society
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• v.12 no.9
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• pp.373-385
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• 2021

The purpose of this paper is to systematically evaluate the relationship between cancer health literacy and cancer screening behaviors using global data. Following the preferred reporting items for systematic reviews and meta-analyses review guidelines, full-text articles published on PubMed, CINAHL, Embase, and Cochrane Library were reviewed until 31 January 2021. The reference lists of all selected studies have been also included. The cancer health literacy and cancer-screening behaviors of the participants aged ≥18 years were assessed. Seventeen studies that met the inclusion criteria were included. The cancer screening behaviors included mammograms, clinical breast cancer examination, Papanicolaou test, colonoscopy, and PSA screening. Eleven studies revealed a statistically meaningful relationship between the cancer health literacy and cancer screening behaviors. Further research should focus on developing effective interventions and guidelines on cancer health knowledge. The research scope of all areas of cancer health literacy and cancer screening behaviors should be extended to improve the cancer screening rates and public health.

• Journal of Korean Medicine Rehabilitation
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• v.31 no.2
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• pp.49-55
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• 2021

Objectives The impact of social and economic losses on society due to the occurrence of osteoporosis patients is serious. The purpose of this study is to identify the types and effects of herbal medicine for osteoporosis and osteopenia. Methods We will investigate 8 online databases (MEDLINE/PubMed, Cochrane library, EMbase, China National Knowledge Infrastructure [CNKI], J-stage, National Digital Science Library [NDSL], Research Information Sharing Service [RISS], Koreanstudies Information Service System [KISS]) without language, publication date limitation for the clinical study of herbal medicine for osteoporosis and osteopenia published between the start of the database and 2021. The frequency, duration and pattern of the any type of herbal medicine utilization will be analyzed. Results Randomized controlled trials about herbal medicine or herbal medicine extracts for osteoporosis and osteopenia should be included in the study. Cochrane risk in bias tools will be used to evaluate the methodological quality of the study. A risk ratio or mean difference with a 95% confidence interval will show the effects of herbal medicine or herbal medicine extracts for osteoporosis and osteopenia. Conclusions The results of the systematic review will reflect the current status of herbal medicine treatment for osteoporosis and osteopenia, and it can be expected to verify the validity of the effectiveness, and provide it as a basic data for the use of herbal medicine in clinical utilization.

• Knowledge Management Research
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• v.20 no.2
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• pp.25-42
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• 2019

AI speakers which are wireless speakers with smart features have released from many manufacturers and adopted by many customers. Though smart features including voice recognition, controlling connected devices and providing information are embedded in many mobile phones, AI speakers are sitting in home and has a role of the central en-tertainment and information provider. Many surveys have investigated the important factors to adopt AI speakers and influ-encing factors on satisfaction. Though most surveys on AI speakers are cross sectional, we can track customer attitude toward AI speakers longitudinally by analyzing customer reviews on AI speakers. However, there is not much research on the change of customer attitude toward AI speaker. Therefore, in this study, we try to grasp how the attitude of AI speaker changes with time by applying text mining-based analysis. We collected the customer reviews on Amazon Echo which has the highest share of AI speakers in the global market from Amazon.com. Since Amazon Echo already have two generations, we can analyze the characteristics of reviews and compare the attitude ac-cording to the adoption time. We identified all sub topics of customer reviews and specified the topics for smart features. And we analyzed how the share of topics varied with time and analyzed diverse meta data for comparisons. The proportions of the topics for general satisfaction and satisfaction on music were increasing while the proportions of the topics for music quality, speakers and wireless speakers were decreasing over time. Though the proportions of topics for smart fea-tures were similar according to time, the share of the topics in positive reviews and importance metrics were reduced in the 2nd generation of Amazon Echo. Even though smart features were mentioned similarly in the reviews, the influential effect on satisfac-tion were reduced over time and especially in the 2nd generation of Amazon Echo.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.247-249
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• 2014

Ubiquitous Sensor Network (USN) environments, sensors and sensor nodes, and coming from heterogeneous sensor networks consist of one another, the characteristics of each component are also very diverse. Thus the sensor and the sensor nodes to interoperability between metadata for a single definition, management is very important. For this, the standard language for modeling sensor SensorML (Sensor Model Language) has. In this paper, sensor devices, sensor nodes and sensor networks for information technology in the application stage XMDR-DAI -based metadata to define the USN. The proposed XMDR-DAI USN based store and retrieve metadata for a method for effectively agent technology. Metadata of the proposed sensor is based SensorML USN environment by maintaining interoperability 50-200 USN middleware or a metadata management system for managing metadata in applications can be utilized directly.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.342-345
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• 2014

Network intrusion detection system based on machine learning methods is quite dependent on the selected features in terms of accuracy and efficiency. Nevertheless, choosing the optimal combination of features from generally used features to detect network intrusion requires extensive computing resources. For instance, the number of possible feature combinations from given n features is $2^n-1$. In this paper, to tackle this problem we propose a optimal feature selection algorithm. Proposed algorithm is based on the local search algorithm, one of representative meta-heuristic algorithm for solving optimization problem. In addition, the accuracy of clusters which obtained using selected feature components and k-means clustering algorithm is adopted to evaluate a feature assembly. In order to estimate the performance of our proposed algorithm, comparing with a method where all features are used on NSL-KDD data set and multi-layer perceptron.

• The Journal of Information Systems
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• v.30 no.1
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• pp.65-84
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• 2021

Purpose Based on the development of artificial intelligence and big data technologies, the RegTech has been emerged to reduce regulatory costs and to enable efficient supervision by regulatory bodies. The word RegTech is a combination of regulation and technology, which means using the technological methods to facilitate the implementation of regulations and to make efficient surveillance and supervision of regulations. The purpose of this study is to describe the recent adoption of RegTech and to provide basic examples of applying RegTech to capital market regulations. Design/methodology/approach English-based ontology and deep learning technologies are quite developed in practice, and it will not be difficult to expand it to European or Latin American languages that are grammatically similar to English. However, it is not easy to use it in most Asian languages such as Korean, which have different grammatical rules. In addition, in the early stages of adoption, companies, financial institutions and regulators will not be familiar with this machine-based reporting system. There is a need to establish an ecosystem which facilitates the adoption of RegTech by consulting and supporting the stakeholders. In this paper, we provide a simple example that shows a procedure of applying RegTech to recognize and interpret Korean language-based capital market regulations. Specifically, we present the process of converting sentences in regulations into a meta-language through the morpheme analyses. We next conduct deep learning analyses to determine whether a regulatory sentence exists in each regulatory paragraph. Findings This study illustrates the applicability of RegTech-based ontology and deep learning technologies in Korean-based capital market regulations.

• The Journal of Industrial Distribution & Business
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• v.12 no.1
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• pp.31-46
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• 2021

Purpose: The purpose of the study is to analyze the characteristics of emotional intelligence and the variables related to emotional intelligence in a comprehensive manner. In addition, the study intends to present research trends and future research directions of emotional intelligence in a Korean context by analyzing the effects of emotional intelligence and its mechanisms. Research Design, Data, and Methodology: 77 KCI listed studies were selected for the analysis, and the research perspective of emotional intelligence, measurement instruments, empirical research and research methods were analyzed. In addition, research directions were suggested based on the analysis results. Results: The results of the analysis were as follows: First, previous researchers used the ability model of emotional intelligence the most. Second, Previous studies tended to focus on behavioral factors as dependent variables affected by emotional intelligence, in addition to attitudes, affection. Third, there were few studies on the antecedents of emotional intelligence, however, most studies dealt with the consequences of emotional intelligence. Fourth, few studies dealt with moderators between emotional intelligence and dependent variables. Fifth, on the research type, most studies were quantitative studies, however, a few of them were qualitative studies (Literature review, in-depth interview). Sixth, with regard to the analysis level, almost all studies were conducted on the individual level of emotional intelligence, and most studies featured a cross-sectional research design (longitudinal research design was rare). Conclusion: First, from the perspective of emotional intelligence, additional research should be focused on not only the ability model of emotional intelligence but also on the trait model or the mixed model in the future. Second, since emotional intelligence is a multidimensional construct, it is necessary to study the profile of emotional intelligence by employing people-centered as well as variable-centered methods. Third, with regard to empirical studies, additional research is needed with respect to not only the emotional intelligence of the subordinate, but also the emotional intelligence of the supervisor (leader) and the emotional intelligence of the group. Fourth, it is necessary to actively utilize not only cross-sectional design but also longitudinal design, and qualitative research and meta-analysis methods should also be adopted.