Sentence examples for importance were assessed from inspiring English sources

Applicability and importance were assessed as follow: "Is the dimension (sub-dimension) applicable to the assessment of organizational readiness for knowledge translation in chronic care?" and "in the context of organizational readiness for knowledge translation in chronic care, is it important to consider the following dimensions (sub-dimensions)?".

Interaction terms of importance were assessed and when significant, a stratified analysis was performed.

These candidate models represent competing hypotheses about which of the above factors were important in explaining variation in the travel speed data [15]; "importance" is assessed by the balance of goodness-of-fit of the model to the data and the number of model parameters required to achieve that fit.

Other parameters are obtained through engineering assumptions, and their importance is assessed by sensitivity analyses.

To evaluate the performance of ACS, specific cooling power (SCP), adsorber bed to adsorbent mass ratio, and coefficient of performance (COP) are introduced and their order of importance are assessed.

Variable importance was assessed by re-fitting the model after removing each variable one-at-a-time and calculating the change in the AIC from the full model to the reduced model.

The variable importance was assessed for each model with a removal-based approach in order to avoid the limited interpretability of the MLA and to verify how each independent variable contribute to the performance of machine learning algorithms (RF, SVM, and ANN).

Having determined the changes in expression of these genes in GA, their functional importance was assessed using a gene knockdown-based approach.

To identify the most individually predictive features, random forest feature importance was assessed using the mean decrease in Gini index (MDG).

Feature importance was assessed using the built-in function of the randomForest package and estimated by the sum of all decreases in Gini impurity, which has been shown to be more robust compared to the mean decrease in accuracy[ 32].

Importance was assessed by testing for enrichment in proteins known to be physical interaction partners with proteins from multiple pathogens [ 10] and also for those specific to HCV [ 11].