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Forest policy-making can be dramatically enhanced by implementing computer based decision support systems (DSS) during the development phase.
Our proposed term, decision tool, includes the classical computer based decision support systems.
A recent review concluded that computer based decision support systems can improve practitioner performance, but the effects remain understudied and inconsistent [ 15].
The safety of telephone triage might be enhanced by using computer based decision support systems. 1 37 On the basis of the findings of this study, such a program should have as a minimum requirement protocols with advice on obligatory questions to be asked, recommendations for urgency outcome, and relevant home management and safety net advice.
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We present an approach to implementing model based decision support systems.
This research therefore proposes an online fuzzy based decision support system for human resource PA.
In this paper we present a multi-model based decision support system (DSS).
In this paper, we propose a sensor based decision supporting system for ICF.
Computer-based decision support systems have been proposed as a tool to improve the decision-making of less-experienced personnel by reducing the information processing demands necessary for decision-making.
Furthermore, computer-based decision support systems have been designed to function as second opinion tools in characterizing laryngeal cancer lesions [ 22, 23], employing powerful pattern recognition techniques on microlaryngoscopy color images.
A large scale review, involving 100 trials, concluded that computer-based decision support systems can improve practitioner performance but that the effects of such interventions remain both understudied and inconsistent [ 13, 15].
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