Sentence examples for using the decision rule from inspiring English sources

Conclusion: Out-of-hospital variables available to field personnel could be used to effectively triage pediatric motor vehicle crash patients using the decision rule developed here.

Then, we tested the latter (i.e., the one that contains seven words) simply using the decision rule, as formulated in (3), derived from the training dataset.

We then transformed the N-dimensional feature vector, where N = 20, into a smaller one-dimensional one feature y simply using (2) and performed the pattern classification on the linear one feature y using the decision rule as formulated in (3).

Using the decision rule, 7 or more of the participants agreed that 25 questions and 19 assessments should be included in the evaluation (table 2).

Using the decision rule, 9 or more of the participants rated 94 questions and 55 assessments as being "most important" (table 2).

We found that a traditional on-reserve approach would cost the state about R240M in acquisition costs, whereas both mixed approaches, using the decision rules developed in this study, would involve leaving 40% of targeted areas in private hands, saving the state 80% in acquisition costs.

During the CCM training, HSAs are taught to conduct assessment following steps on the form, and to make treatment decisions using the decision rules included on the form.

This represents a major limitation of the small-area disease-mapping approach, although exploiting the full posterior distribution of the relative risk estimates using the decision rules proposed here can improve the discrimination between areas with background and elevated rates.

Likewise, using the decision rules induced by the gene pairs in the whole training set to classify the test set, we detected 13 gene pairs with no less than 32 test samples classified correctly (at most, 2 errors).

Using the decision rules given, this design assures the desired power 1- β = 0.80 for the alternative π1 = 0.80 and has an expected sample size of 20.8 under the null hypothesis π0 = 0.60.

To explore the impact of using this decision rule on survey performance and associated costs, we also explored classification into relevant treatment categories using the decision rules proposed for each threshold based on the number of positive children in the recommended cluster sample of 308 (< 10%: 18, < 20%: 44, < 50%: 66).