• 제목/요약/키워드: Evidence Framework

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Evidence-based approaches for establishing the 2015 Dietary Reference Intakes for Koreans

  • Shin, Sangah;Kim, Subeen;Joung, Hyojee
    • Nutrition Research and Practice
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    • 제12권6호
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    • pp.459-468
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    • 2018
  • BACKGROUND/OBJECTIVES: The Dietary Reference Intakes for Koreans (KDRIs), a set of reference intake values, have served as a basis for guiding a balanced diet that promotes health and prevents disease in the general Korean population. In the process of developing DRIs, a systematic review has played an important role in helping the DRI committees make evidence-based and transparent decisions for updating the next DRIs. Thus, the 2015 KDRI steering committee applied the systematic review framework to the revision process of the KDRIs. The purpose of this article is to summarize the revision process for the 2015 KDRIs by focusing on the systematic review framework. MATERIALS/METHODS: The methods used to develop the systematic review framework for 2015 KDRIs followed the Agency for Healthcare Research and Quality and the Tufts Evidence-based Practice Center. The framework for systematic review of the 2015 KDRIs comprised of the 3 following steps: (1) development of an analytic framework and refinement of key questions and search terms; (2) literature search and data extraction; and, (3) appraisal of the literature and summarizing the results. RESULTS: A total of 203,237 studies were retrieved through the above procedure, with 2,324 of these studies included in the analysis. General information, main results, comments of reviewers, and results of quality assessment were extracted and organized by study design. The average points of quality appraisals were 3.0 (range, 0-5) points for intervention, 6.1 (0-9) points for cohort, 6.0 (3-9) points for nested case-control, 5.4 (1-8) points for case-control, 14.6 (0-22) points for cross-sectional studies, and 7.0 (0-11) points for reviews. CONCLUSIONS: Systematic review helped to establish the 2015 KDRIs as a useful tool for evidence-based approach. Collaborative efforts to improve the framework for systematic review should be continued for future KDRIs.

Choosing the Tuning Constant by Laplace Approximation

  • Ahn, Sung-Mahn;Kwon, Suhn-Beom
    • Communications for Statistical Applications and Methods
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    • 제19권4호
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    • pp.597-605
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    • 2012
  • Evidence framework enables us to determine the tuning constant in a penalized likelihood formula. We apply the framework to the estimating parameters of normal mixtures. Evidence, which is a solely data-dependent measure, can be evaluated by Laplace approximation. According to a synthetic data simulation, we found that the proper values of the tuning constant can be systematically obtained.

Explorations of Evidence-based Policymaking (EBPM) for Reconciling Science and Policy: Developing a Conceptual Framework for Improved Understanding of EBPM in Wind Industry Emergence

  • Lee, Kyounglim;Platts, Jim;Minshall, Tim
    • STI Policy Review
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    • 제6권2호
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    • pp.146-173
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    • 2015
  • This study explores how to reconcile science and policy in the wind energy sector by providing a conceptual framework for better understanding evidence-based policymaking (EBPM). Regarding this framework, the core issue is to discover how knowledge is formed over time, and which factors affect this knowledge formation. Comparative cases of wind industry emergence in Spain and Britain are examined. This analysis shows that knowledge formation initially starts in the scientific arena in parallel with its formation in the practical, and is followed by political knowledge formation near the beginning of commercial projects. Regarding knowledge formation, three more comparisons are made between wind industry emergence in Spain and Britain: the different approaches to R&D projects, the different adoptions of supporting measures, and the different ways of coping with public opposition. The factors affecting the comparisons are mainly perceptions of energy supply, nuclear power, environment and science and technology. Communication and unfamiliarity are likely to affect the comparisons in EBPM.

Developing a Framework for the Implementation of Evidence Collection System: Focusing on the Evaluation of Information Security Management in South Korea

  • Choi, Myeonggil;Kang, Sungmin;Park, Eunju
    • Journal of Information Technology Applications and Management
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    • 제26권5호
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    • pp.13-25
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    • 2019
  • Recently, as evaluation of information security (IS) management become more diverse and complicated, the contents and procedure of the evidence to prepare for actual assessment are rapidly increasing. As a result, the actual assessment is a burden for both evaluation agencies and institutions receiving assessments. However, most of them reflect the evaluation system used by foreign government agencies, standard organizations, and commercial companies. It is necessary to consider the evaluation system suitable for the domestic environment instead of reflecting the overseas evaluation system as it is. The purpose of this study is as follows. First, we will present the problems of the existing information security assessment system and the improvement direction of the information security assessment system through analysis of existing information security assessment system. Second, it analyzes the technical guidance for information security testing and assessment and the evaluation of information security management in the Special Publication 800-115 'Technical Guide to Information Security Testing and Assessment' of the National Institute of Standards and Technology (NIST). Third, we will build a framework to implement the evidence collection system and present a system implementation method for the '6. Information System Security' of 'information security management actual condition evaluation index'. The implications of the framework development through this study are as follows. It can be expected that the security status of the enterprises will be improved by constructing the evidence collection system that can collect the collected evidence from the existing situation assessment. In addition, it is possible to systematically assess the actual status of information security through the establishment of the evidence collection system and to improve the efficiency of the evaluation. Therefore, the management system for evaluating the actual situation can reduce the work burden and improve the efficiency of evaluation.

Bayesian Model Selection for Support Vector Regression using the Evidence Framework

  • Hwang, Chang-Ha;Seok, Kyung-Ha
    • Communications for Statistical Applications and Methods
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    • 제6권3호
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    • pp.813-820
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    • 1999
  • Supprot vector machine(SVM) is a new and very promising regression and classification technique developed by Vapnik and his group at AT&T Bell Laboratories. in this paper we provide a brief overview of SVM for regression. Furthermore we describe Bayesian model selection based on macKay's evidence framework for SVM regression.

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Representing Fuzzy, Uncertain Evidences and Confidence Propagation for Rule-Based System

  • Zhang, Tailing
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1993년도 Proceedings of International Conference for Agricultural Machinery and Process Engineering
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    • pp.1254-1263
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    • 1993
  • Representing knowledge uncertainty , aggregating evidence confidences , and propagation uncertainties are three key elements that effect the ability of a rule-based expert system to represent domains with uncertainty . Fuzzy set theory provide a good mathematical tool for representing the vagueness associated with a variable when , as the condition of a rule , it only partially corresponds to the input data. However, the aggregation of ANDed and Ored confidences is not as simple as the intersection and union operators defined for fuzzy set membership. There is, in fact, a certain degree of compensation that occurs when an expert aggregates confidences associated with compound evidence . Further, expert often consider individual evidences to be varying importance , or weight , in their support for a conclusion. This paper presents a flexible approach for evaluating evidence and conclusion confidences. Evidences may be represented as fuzzy or nonfuzzy variables with as associat d degree of certainty . different weight can also be associated degree of certainty. Different weights can also be assigned to the individual condition in determining the confidence of compound evidence . Conclusion confidence is calculated using a modified approach combining the evidence confidence and a rule strength. The techniques developed offer a flexible framework for representing knowledge and propagating uncertainties. This framework has the potention to reflect human aggregation of uncertain information more accurately than simple minimum and maximum operator do.

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Moving towards Evidence-Based Clinical Practice Guidelines

  • Jung, Jae Hung;Franco, Juan VA;Dahm, Philipp
    • Urogenital Tract Infection
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    • 제13권3호
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    • pp.45-50
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    • 2018
  • The Institute of Medicine in its report "Clinical Practice Guidelines we can trust" defined standards for clinical practice guidelines. However, many guidelines continue to rely on expert opinion and lack a formal framework for moving from evidence to recommendations. These guidelines may or may not be labeled as "consensus statements" and do not meet contemporary standards for guideline documents we would refer to as "evidence-based". Therefore, the Grading of Recommendations Assessment, Development and Evaluation working group developed a novel, rigorous and transparent approach to grading certainty (quality) of evidence. In addition, it created a system for "moving from evidence to decisions", for example for the development of evidence-based guidelines. In this article, we aim to introduce this approach to appraising the certainty of relevant evidence and estimate the benefits and detriments of health care interventions within the larger context of evidence-based medicine.

증거기반 연구개발 정책 지원을 위한 정보 분석 프레임워크에 대한 연구: 정책과정의 합리성 제고에 관한 실무적 고찰 (Information Analysis Framework for Supporting Evidence-based Research and Development Policy: Practical Considerations for Rationality in the Policy Process)

  • 이도연;김근환
    • 정보화정책
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    • 제28권1호
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    • pp.77-93
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    • 2021
  • 본 연구는 정책과정에서 다양한 증거가 활용되어 정책의 질을 높일 수 있다는 규범적 주장보다 실무적으로 증거의 바탕이 되는 정보가 정책과정에서 어떻게 활용될 수 있는가에 대한 고찰을 바탕으로, 이해관계자들 간 지속적인 상호 작용을 촉진할 수 있는 유용한 정보를 제공하기 위한 정보 분석 프레임워크와 분석된 정보를 통해 갈등을 조정할 수 있는 운영 절차를 제시하였다. 특히 국가경쟁력 제고 및 사회적·환경적 문제를 해결하기 위해 요구되는 과학기술 관련 지식의 창출을 촉진하는 연구개발(R&D) 정책과정 중 정책형성단계에서 수행되는 전략기획과정에 초점을 두고 있다. 국가 현안인 고령화를 사례로 국가R&D 전략기획에 참여하는 이해관계자들 간 대립적이고 갈등적인 상황을 운영절차를 통해 정책과정의 합리성을 확보하고, 제공된 정보를 기반으로 의사소통을 유도하여 갈등을 협상 진화적으로 전환 긍정적인 영향을 미치는 것을 확인하였다. R&D전략기획을 수립하는데 발생하는 갈등 관리를 위해, 본 연구에서 제시한 바와 같이 정보 분석 프레임워크와 이를 활용한 운영절차를 이해관계자들과 사전에 합의가 선행되어져야 할 것이다. 본 연구는 증거기반 정책의 본질을 환기시키고 있으며, 합리적 행위를 강화함으로써 증거기반 연구개발 정책에 기여하고 있다.

Implementing Evidence into Practice for Best Dementia Care

  • Park, Myonghwa
    • 대한간호학회지
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    • 제45권4호
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    • pp.495-500
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    • 2015
  • Purpose: The purpose of this paper was to discuss the need for translation studies in dementia care and current translational endeavors, and to provide recommendations for evolving evidence-based dementia care. Methods: A literature review yielded current evidence and translational efforts. Results: Dementia care interventions need to be implemented at various service levels. Barriers to translation include evidence gaps, lack of the use of a conceptual framework to explain the implementation process, and unsupportive funding mechanisms for applying innovations. Conclusion: There is clear evidence of the need for and benefits of evidence-based dementia care for patients with dementia, family caregivers, and care professionals. The urgent need now is finding ways to advance translational activities and facilitate future research into translation science.

Transformation of Mass Function and Joint Mass Function for Evidence Theory

  • Suh, Doug. Y.;Esogbue, Augustine O.
    • 한국지능시스템학회논문지
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    • 제1권2호
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    • pp.16-34
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    • 1991
  • It has been widely accepted that expert systems must reason from multiple sources of information that is to some degree evidential - uncertain, imprecise, and occasionally inaccurate - called evidential information. Evidence theory (Dempster/Shafet theory) provides one of the most general framework for representing evidential information compared to its alternatives such as Bayesian theory or fuzzy set theory. Many expert system applications require evidence to be specified in the continuous domain - such as time, distance, or sensor measurements. However, the existing evidence theory does not provide an effective approach for dealing with evidence about continuous variables. As an extension to Strat's pioneeiring work, this paper provides a new combination rule, a new method for mass function transffrmation, and a new method for rendering joint mass fuctions which are of great utility in evidence theory in the continuous domain.

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