• YAKHAK HOEJI
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• v.53 no.3
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• pp.138-144
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• 2009

The purpose was to implement drug utilization review (DUR) for whom were diagnosed with chronic kidney disease (CKD) population using health insurance claim data. This study constructed drug utilization database using Health Insurance Review and Assessment Service (HIRA) database and selected contraindicated drugs with kidney based on previously developed drug utilization guide and reviewing other countries' examples. Main outcome measures were the proportion of prescription for 1 or more drugs of concern. The cohort included 115,948 subjects, who were diagnosed with chronic kidney disease. Inappropriate drugs with CKD patients was some used, and the most commonly prescribed classes were aluminum drugs. However it is difficult to find problems with inappropriate drug because claims data doesn't have laboratory data. Based on the result of retrospective drug utilization review study, more studies should be analysed drug utilization patterns and monitoring system should be developed.

• The Journal of Information Systems
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• v.31 no.2
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• pp.159-177
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• 2022

Purpose Online reviews are critical for sales of online shopping platforms because they provide useful information to consumers. As the eCommerce market grows rapidly, the role of online reviews is becoming more important. The purpose of this study is to analyze how online reviews written by domestic consumers affect product sales by classifying the types of products. Design/methodology/approach This study analyzed how the effects of review characteristics(reviewer reputation, reviewer exposure, review length, time, rating, image, and emotional score) on the usefulness of online reviews differ depending on the product types. Subsequently, how the impact of review attributes (review usefulness, number of reviews, ratings, and emotional scores) on product sales differs according to each product type was compared. Based on the FCB Grid model, the product type was classified into high involvement-rational, high involvement-emotional, low involvement -rational, and low involvement-emotional product types. Findings According to the analysis result, the characteristics of reviews useful to consumers were different for each product type, and the review attributes affecting product sales were also different for each product type. This study confirmed that it revealed that product characteristics are major consideration in evaluating the review usefulness and the factors affecting product sales.

• The Journal of Information Systems
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• v.31 no.4
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• pp.161-187
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• 2022

Purpose This study analyzed the topic of game review contents and how the characteristics of game reviews affect the reviews helpfulness. In addition, this study explore the content of game reviews according to the game's sales strategy such as early access strategy and releasing without early access. Design/methodology/approach We collected a list of 3,572 action genre games released in 2020. 58,336 online reviews were collected by random sampling 50 reviews in each games, and topic modeling was performed on those reviews. We dynamized the results of topic modeling and analyzed the effect on review helpfulness with multiple regression analysis. Findings The results of analysis indicate that the longer the review is or the shorter the time it is written, the more helpful the review is. In addition the topic with positive and negative review has a significant effect on the review helpfulness. As a result of exploratory analysis, games from early access had relatively fewer reviews of story-related topics than games that were released without early access. These findings can present direct guidelines for collecting specific opinions from customers in the game industry when releasing games.

• International Commerce and Information Review
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• v.9 no.2
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• pp.351-371
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• 2007

This study article is a study on the rules of origin review and rules of origin judgement. and The purpose of this article shall be studies to korea foreign law and Korea American FTA in origin country regulation. this article are two most important elements in determining market access in a FTA. that is the coverage of tariff elimination and rules of origin. The rule of origin in a FTA greatly influences the creation of economic profit and distribution. Therefor, The Result of the article is review to protection of domestic customers and domestic industries in rules of origin. This study contributes to a understanding of judgement of rules of origin and extend level of generalization of exchange law, WTO, FTA Regulations by review interaction relation.

• Journal of KIBIM
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• v.9 no.3
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• pp.54-60
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• 2019

After Landscape Act was enacted, as awareness of landscape has increased and the need of expanding targets of landscape design review and improving landscape examination in terms of quality, this study aims to describe a technique of creating three dimensional landscape simulation model which is used for landscape design review. For this, the author of this study conducted analysis in terms of function and use of programs and compatibility with programs to find a way of creating models with the most efficient and optimum process. For creation of landscape simulation models, initial creation is important but in case that changes occur by operator changing or discussing development plans, rapid correction and change are needed. Therefore, this study described how to build more accrurate and efficient simulation at initial review and how to create a landscape simulation model for rapid response to changed plans during reconsideration.

• The Journal of Information Systems
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• v.31 no.4
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• pp.01-23
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• 2022

Purpose This study aims to propose a deep learning-based fake review detection model by combining authors' linguistic features and semantic information of reviews. Design/methodology/approach This study used 358,071 review data of Yelp to develop fake review detection model. We employed linguistic inquiry and word count (LIWC) to extract 24 linguistic features of authors. Then we used deep learning architectures such as multilayer perceptron(MLP), long short-term memory(LSTM) and transformer to learn linguistic features and semantic features for fake review detection. Findings The results of our study show that detection models using both linguistic and semantic features outperformed other models using single type of features. In addition, this study confirmed that differences in linguistic features between fake reviewer and authentic reviewer are significant. That is, we found that linguistic features complement semantic information of reviews and further enhance predictive power of fake detection model.

• Journal of Korean Library and Information Science Society
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• v.23
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• pp.471-503
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• 1995

Originally [descriptive review] is widely used by general reader. In contrast with this, [critical review] is generally used by librarian and researcher. Like this, book review is divided into descriptive review and critical review. Besides, the present writer su n.0, pposes to make additions to [interpretative review]. In this study, the present writer tries to realize full-scale review concerning [The Root Problem of Law Philosophy/Kim, Pyong-Kyu] by critical review and interpretative review. Together, the contents on which the critical review of law philosophy is based on were investigated as follows: (1) The law and metaphor (2) The Oriental law and natural law (3) The golden rule in the Orient (4) The ideology and justice of Confucianism (5) The justice in Confucian thought (6) The essay on justice of the West and the Orient (7) The significance of the Oriental morality (8) The relation of morality, ceremony and law (9) The essay on conscience (10) The essay on conscience of the Orient and the West

• Journal of Preventive Medicine and Public Health
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• v.57 no.1
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• pp.1-7
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• 2024

Objectives: Adjusting for potential confounders is crucial for producing valuable evidence in outcome studies. Although numerous studies have been published using the Korea National Health Insurance Claim Database, no study has critically reviewed the methods used to adjust for confounders. This study aimed to review these studies and suggest methods and applications to adjust for confounders. Methods: We conducted a literature search of electronic databases, including PubMed and Embase, from January 1, 2021 to December 31, 2022. In total, 278 studies were retrieved. Eligibility criteria were published in English and outcome studies. A literature search and article screening were independently performed by 2 authors and finally, 173 of 278 studies were included. Results: Thirty-nine studies used matching at the study design stage, and 171 adjusted for confounders using regression analysis or propensity scores at the analysis stage. Of these, 125 conducted regression analyses based on the study questions. Propensity score matching was the most common method involving propensity scores. A total of 171 studies included age and/or sex as confounders. Comorbidities and healthcare utilization, including medications and procedures, were used as confounders in 146 and 82 studies, respectively. Conclusions: This is the first review to address the methods and applications used to adjust for confounders in recently published studies. Our results indicate that all studies adjusted for confounders with appropriate study designs and statistical methodologies; however, a thorough understanding and careful application of confounding variables are required to avoid erroneous results.

• Journal of Korean Academy of Nursing
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• v.36 no.1
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• pp.197-205
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• 2006

Purpose: The objective of the study is to analyze the review contents of reviewers for the submitted papers in the Journal of Korean Academy of Nursing in 2003. Method: The review contents of the 165 papers were selected 217 papers that were submitted in 2003. Among those 165 papers, the 21 papers belonged to the 'Do not publish' list and 17 papers, 'Revise manuscript and resubmit', list and the 94 papers, 'Publish if revisions are made' list. There are more than two level differences among the four levels of decision in acceptance of publication in 33 papers. Results: The analysis of the review contents for the papers were suggested according to review categories: introduction, method, results, discussion and conclusion. In addition, if papers had more than two levels of review they were rated poor accord or inconsistent. Conclusion: For the quality of the academic journal and development of the nursing science, it is important to disseminate and publish the research paper. Therefore, review of the submitted paper is also important. Implications for the profitable review were suggested in the study.

• Journal of Distribution Science
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• v.22 no.3
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• pp.113-124
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• 2024

Purpose: This study is a quantitative study and analyzes the effect of evaluating the extreme and usefulness of product reviews on sales performance by using text mining techniques based on product review big data. We investigate whether the perceived helpfulness of product reviews serves as a mediating factor in the impact of product review extremity on sales performance. Research design, data and methodology: The analysis emphasizes customer interaction factors associated with both product review helpfulness and sales performance. Out of the 8.26 million Amazon product reviews in the book category collected by He & McAuley (2016), text mining using natural language processing methodology was performed on 300,000 product reviews, and the hypothesis was verified through hierarchical regression analysis. Results: The extremity of product reviews exhibited a negative impact on the evaluation of helpfulness. And the helpfulness played a mediating role between the extremity of product reviews and sales performance. Conclusion: Increased inclusion of extreme content in the product review's text correlates with a diminished evaluation of helpfulness. The evaluation of helpfulness exerts a negative mediating effect on sales performance. This study offers empirical insights for digital market distributors and sellers, contributing to the research field related to product reviews based on review ratings.