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This research extends an earlier work [11], which focused primarily on social media data quality evaluation for decision making, and initial validation of metadata management architecture for big data systems.
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In economic evaluation for decision-making, three additional issues merit attention [10].
In this article, a novel approach is proposed to choose among alternatives, differently assessed by decision makers on different criteria, to make the final evaluation for decision-making.
In Japan, the Ministry of Health, Labour and Welfare (MHLW) has started a discussion on the introduction of economic evaluation for decision-making from 2012.
The CEAC is straightforward to construct and interpret, which is why it is increasingly becoming a part of economic evaluations for decision makers.
The finding that funding and publication bias is not only inherent in what is being evaluated but also associated with the results in terms of favorability of health care interventions calls the realistic value of health economic evaluations for decision makers seriously into question.
In this work, an extended evaluation approach for decision making units (DMUs) with a single output is proposed.
In order to make this evaluation useful for decision making, it is necessary to focus the attention on the obtained results for each district.
Life Cycle Assessment (LCA) is an increasingly important evaluation tool for decision making and stakeholder discussion; especially when applied during the planning phase, it can pinpoint process steps with a high environmental impact and thus, provide guidance towards optimising the actual technology implementation.
A growing number of jurisdictions require economic evaluations for decisions about reimbursement of new technologies, particularly pharmaceuticals.
Moreover, the quality of test studies is extremely important as a basis for further evaluation for clinical decision making and health outcomes [24,25].
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