Sentence examples for criteria training from inspiring English sources

This will include testing: inclusion/exclusion criteria training of staff in the administration and assessment of the intervention.

We strongly suggest that the efficacy of a glucose control protocol depends on all of the following criteria: training time, glucose control performance, risk of hypoglycemia, mean error rate, nursing workload (weak agreement).

In this study, GEP was first used to define a limited set of markers allowing to correctly classify 71 patients with either APL, t(8 21 -AML, inv(16)-AML or cytogenetically normal AML (NK-AML) based on samples containing at least 60 percent of leukemic blasts and characterized by good quality control criteria (training set including optimal samples).

Compared to more conventional learning algorithms where misclassification error is generally used as an important criterion for model training and learning patterns, defining a corresponding criteria for training Deep Learning algorithms with Big Data is unsuitable since most Big Data Analytics involve learning from largely unsupervised data.

Patients will be required to meet these criteria after training to allow for progressive return to sport activities.

The main selection criteria were training experience and level of performance in a sport where forearm movement and muscle function are very important elements of performance.

If patients do not meet these criteria after training they will be repeatedly tested every 2-4 weeks until all measures are met prior to returning to sport activity.

The combination of four criteria (cough, training week 0 2, winter season, and fever) had the highest specificity (97.0%) and PPV (39.4%) but had a sensitivity of 26.9%.

Exclusion criteria were training on an alternative AAI device between randomization for the Main Study and the one-year visit, and significant psychological distress at the one-year scenario.

These show a significant linear decline (t[93] = 6.85, p < .0001, adjusted R 2 = .32), with the cross-validation results not quite corroborating that finding by my criterion (training set mean adjusted R 2 = .21; test set mean R 2 = .09, t[98] = 3.11, p < .003, d = 0.63).

Converging criterion while training the ANN can be set according to RE function (RE-Func) designed in this work.