• 통상정보연구
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• 제6권1호
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• pp.191-210
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• 2004

There are increasing needs for an individual or enterprise to interchange documents electronically through communication network to enhance the efficiency of business, owing to rapid process of transactions. But e-commerce encounters the problems regarding the handling the electronic documents, that is to say, deposit and proof of the electronic documents. This paper deals with Authorized Electronic Data Depot as an integrated system for processing, relaying and proving documents that. Authorized Electronic Data Depot operates as e-enabler in exchanging documents in trust among administrative agencies and a comprehensive government directory, digital government seal certification system and DNS system. Authorized Electronic Data Depot leads public and private sectors to save the paper-related costs. But the regulations concerning an authorized electronic data depot is introduced in the course of revision of Electronic Transactions Act. The purpose of this paper is to suggest some guidelines in legalizing the authorized electronic data depot.

• Journal of the Korean Data and Information Science Society
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• 제25권6호
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• pp.1263-1272
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• 2014

경시적 범주형자료 (longitudinal categorical data)는 의학, 보건학, 그리고 사회과학에서 많이 발생하는 자료이다. 이러한 자료는 반복측정으로 인한 결과치들의 상관관계를 설명하면서 공변량의 효과를 설명해야 한다. 이 논문에서 모집단에 대한 공변량의 효과를 추정하면서 우도함수에 기초한 모형인 주변화 변량효과모형 (marginalized random effects model)을 소개하고, 그 모형의 어떻게 발전했는지를 고찰한다. 그리고 실제 자료를 이용하여 제시된 모형을 설명한다.

• Genomics & Informatics
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• 제1권2호
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• pp.65-74
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• 2003

Data mining differs primarily from traditional data analysis on an important dimension, namely the scale of the data. That is the reason why not only statistical but also computer science principles are needed to extract information from large data sets. In this paper we briefly review data mining, its characteristics, typical data mining algorithms, and potential and ongoing applications of data mining at biopharmaceutical industries. The distinguishing characteristics of data mining lie in its understandability, scalability, its problem driven nature, and its analysis of retrospective or observational data in contrast to experimentally designed data. At a high level one can identify three types of problems for which data mining is useful: description, prediction and search. Brief review of data mining algorithms include decision trees and rules, nonlinear classification methods, memory-based methods, model-based clustering, and graphical dependency models. Application areas covered are discovery compound libraries, clinical trial and disease management data, genomics and proteomics, structural databases for candidate drug compounds, and other applications of pharmaceutical relevance.

• Toxicological Research
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• 제20권1호
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• pp.1-11
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• 2004

Evaluation of toxicological pathology is to some extend subjective judgments by pathologist and the accuracy of pathologist's works is based on the individual training and experiences. It has been required to establish a peer review system for toxicologic pathology and these review system has been employed by various practice of toxicological pathology. It would be pointed out that the possible causes of drifts in pathology are due to 1) lack of knowledge or experience of individual pathologists, 2) poorly maintained consistence of grading among animals in study, 3) different interpretation of findings between pathologists, or 4) pathology data processing. Example cases of diagnostic errors and current practice of peer review including tissue selection criteria, documentation and problem resolution for short-term and carcinogenicity studies were introduced. For sound regulatory system and high integrity of practice in toxicological pathology, current approaches of peer review system were reviewed.

• 한국병원경영학회지
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• 제12권1호
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• pp.31-50
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• 2007

This study was carried out to analyze the present condition of high-price medical technologies in South Korea and to compare it with OECD countries. This study included 10 high-price medical equipments and used medical equipment registry data of Health Insurance Review Agency. The major findings of this study are as follows; Firstly, The number and growth of high-price medical equipments in South Korea is much higher than those in other OECD countries. There are many of high-price medical equipments even in clinics. Secondly, the percentage of old poor-quality medical equipments is very high, especially in clinics. This is because of high-price of medical equipments. The results of this study implicated that there is high possibility of inappropriate use of high-price medical technologies. This may result in the increase of health expenditure; therefore, there should be a kind of regulation policy to control amount and quality of medical equipment.

• 한국정보시스템학회지:정보시스템연구
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• 제29권4호
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• pp.171-191
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• 2020

Purpose The study aims to compare the online review writing behavior of users in China and the United States through text mining on online reviews' text content. In particular, existing studies have verified that there are differences in online reviews between different cultures. Therefore, the purpose of this study is to compare the differences between reviews written by Chinese and American tourists by analyzing text contents of online reviews based on cultural theory. Design/methodology/approach This study collected and analyzed online review data for hotels, targeting Chinese and US tourists who visited Korea. Then, we analyzed review data through text mining like sentiment analysis and topic modeling analysis method based on previous research analysis. Findings The results showed that Chinese tourists gave higher ratings and relatively less negative ratings than American tourists. And American tourists have more negative sentiments and emotions in writing online reviews than Chinese tourists. Also, through the analysis results using topic modeling, it was confirmed that Chinese tourists mentioned more topics about the hotel location, room, and price, while American tourists mentioned more topics about hotel service. American tourists also mention more topics about hotels than Chinese tourists, indicating that American tourists tend to provide more information through online reviews.

• Safety and Health at Work
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• 제8권2호
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• pp.130-142
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• 2017

Background: Osteoarthritis of the knee is considered to be related to knee straining activities at work. The objective of this review is to assess the exposure dose-response relation between kneeling or squatting, lifting, and climbing stairs at work, and knee osteoarthritis. Methods: We included cohort and case-control studies. For each study that reported enough data, we calculated the odds ratio (OR) per 5,000 hours of cumulative kneeling and per 100,000 kg of cumulative lifting. We pooled these incremental ORs in a random effects meta-analysis. Results: We included 15 studies (2 cohort and 13 case-control studies) of which nine assessed risks in more than two exposure categories. We considered all but one study at high risk of bias. The incremental OR per 5,000 hours of kneeling was 1.26 (95% confidence interval 1.17-1.35, 5 studies, moderate quality evidence) for a log-linear exposure dose-response model. For lifting, there was no exposure dose-response per 100,000 kg of lifetime lifting (OR 1.00, 95% confidence interval 1.00-1.01). For climbing, an exposure dose-response could not be calculated. Conclusion: There is moderate quality evidence that longer cumulative exposure to kneeling or squatting at work leads to a higher risk of osteoarthritis of the knee. For other exposure, there was no exposure dose-response or there were insufficient data to establish this. More reliable exposure measurements would increase the quality of the evidence.

• 보건행정학회지
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• 제31권3호
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• pp.261-271
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• 2021

Background: In 2018, the government increased the fee for the magnetic resonance imaging (MRI) image deciphering services of the external hospital to discourage the redundant MRI scan and to induce appropriate use of the MRI services. It is important to evaluate the effect of the policy to provide the basis for establishing other MRI-related policies. Methods: The healthcare data of the patients who had brain MRI scans were organized by episode and analyzed using the panel study in order to find out the effect of the MRI-related policy on the substitution effect and the medical expenses. Results: As a result of the increase in the fee of deciphering the MRI image, there has been an uplift in deciphering the MRI scan of the external hospital. It implies that more hospitals chose to use the MRI scan taken by other clinics or hospitals, rather than the MRI scan taken at their own facilities. Conclusion: The research results imply that a policy that facilitates the exchange of the medical image data between the hospitals is needed in order to establish an efficient management system of the healthcare resources. Such improvement is expected to reduce the social cost and contribute to the stability in the finance of national health insurance.

• 전자공학회논문지SC
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• 제49권3호
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• pp.1-11
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• 2012

데이터 연관은 지능시스템의 자율적인 작동에 매우 중요한 문제이다. 본 논문에서는 데이터 연관 문제를 Bayesian 방식으로 구성하고 이를 성공적으로 지능시스템에 응용한 예를 설명한다. 먼저 데이터 연관 문제가 어떻게 Bayesian 방식으로 구성하여 혼잡한 환경에서의 다 물체 추적 문제에 적용되는지 알아본다. 그리고 데이터 연관이 지능시스템에 어떻게 응용될 수 있는지 정체 관리를 이용한 항공 교통 관제, 카메라 네트워크 위치 및 관점 자동 보정, 멀티 센서 퓨젼의 세 가지 예를 이용해 살펴본다.

• 한국콘텐츠학회논문지
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• 제22권10호
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• pp.59-73
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• 2022

개방형동료심사는 투고된 학술논문을 투명하게 심사할 목적으로 심사자의 신원, 심사의견, 심사결과를 저자를 포함한 일반 독자에게 공개하는 심사 방식이다. 개방형동료심사 인식에 관한 선행연구가 진행되었지만, 국내 과학기술 분야 학술지 편집담당자 관점에서 이러한 인식을 조사하고 분석한 연구는 찾아볼 수 없었다. 구체적으로, 학술지 편집위원의 개방형동료심사 적용 의향, 적용 시기 및 새로운 심사 방식을 채택할 때 예상되는 도전과 기회, 개방형동료심사 지원을 위한 투고심사시스템 요구사항에 관한 조사 및 분석은 부족한 실정이다. 이에 본 논문은 개방형동료심사에 대한 학술지 편집담당자의 인식을 조사하고 이러한 심사를 편리하게 지원하는 투고심사시스템의 핵심적인 요구사항을 이해하기 위해, 설문문항 준비, 설문조사 실시, 응답 결과를 분석하였다. 또한, 일부 과학기술 학술지 편집위원장을 대상으로 개방형동료심사에 관한 표적집단인터뷰를 수행하였다. 이후, 개방형동료심사 인식에 관한 본 연구의 분석 결과, 표적집단인터뷰 결과 및 국외 유사 설문조사 사례를 비교, 분석하고 시사점을 도출하였다. 본 연구 결과는 국내 학술단체에서 새로운 논문심사 방식의 정책 수립 및 시행, 투고심사시스템의 개방형동료심사를 위한 기능 탑재 및 선택 등의 의사결정에 도움이 될 것으로 기대된다.