Sentence examples for relevance decision from inspiring English sources

Closer to the ancestral seat of IBM's power, in Syosset, NY, CHIPS Technology Group collates white papers, articles and manuals to provide tech support responses, all through Watson's observation, understanding, evaluation, and relevance decision engines.

In each reward run five conditions are modelled (decision lose, feedback lose, decision win, feedback win and baseline), each personal relevance run also contains five conditions (decision low personal relevance, feedback low personal relevance, decision high personal relevance, feedback high personal relevance and baseline), whereas the intertrial interval was not modelled separately.

It also relates different PHM component parts to the relevance decision-making process based on a segmentation of decision time horizon.

By formally combining the relevant knowledge, context, and likelihood, Bayes' theorem can improve the logic, accuracy, and relevance of decision support statements.

For these decisions to be evidence-informed, policymakers need timely access to the best available research evidence in a way that makes it easily retrieved (i.e. using terminology that is intuitive to them) and which allows them to rapidly scan for relevance and decision-relevant information [ 2, 3].

We discuss the methodology of diagnostic research and underscore the relevance of decision analysis in the process of evaluation of diagnostic tests.

Fourteen Wild Cards were assessed by the experts, including the estimated impact on the different transport sectors, the likelihood of occurrence in different time-frames, and the relevance for decision makers.

These natural categories were chosen for their potential relevance to decision making in clinical and health policy settings and to ensure adequate numbers of subjects in each category.

This information is of great relevance to decision makers and can assist in intervention uptake, dissemination and inform more advanced cost-effectiveness studies [ 17, 32].

To address this challenge, CPHR combined two guiding principles: relevance to decision making with excellence in the academic quality of its products [ 13].

Moreover, the parametric methods are also often to be preferred because estimates using medians may have little relevance for decision making.