Sentence examples for capacity of prediction from inspiring English sources

The use of HPV-mRNA test in the follow-up after LEEP is still matter of debate, with regard to its capacity of prediction relapse.

The artificial neural network method showed a greater capacity of prediction in developing the objective functions for the tibial locking screws and the spinal pedicle screws than the multiple linear regression method.

Accordingly, RRI dismisses (the capacity of) prediction and control as the sole essential features of responsibility.

The results showed that model using polynomial kernel functions had the highest capacity of prediction with the AUC of 0.86, slightly better than RBF (0.82) and Linear (0.78).

The capacity of prediction is nonetheless directly linked to the quality of the methodology used and the information available.

As all these efforts to define the subgroups based on the clinicopathologic or molecular level result from the lack of good prognostic markers and treatment strategies of thymoma, the capacity of prediction of current proposed genes sets needs to be validated in more samples prospectively in accordance with the clinical parameters.

In this study, the value account for (VAF) and root mean square error (RMSE) indices were also calculated to control the performance of the prediction capacity of predictive models developed in the study, as employed by Cobanglu and Celik [15] and Yilmaz and Yuksek [21].

Area under the receiver operating characteristic-ROC analysis was used to assess the discriminative capacity of several prediction models.

From Table 4, SVM appears to have the capacity of correct prediction of 46.3%~76.7% of the novel proteins found from the literatures.

This allows the user to choose between two types of assemblies: those with many accurate micro-contigs, at the expense of the capacity of taxonomic/functional prediction, and those with longer contigs, enabling the recovery of whole genomes or more taxonomic functions.

The composition of predictors in Models 1 and 2 underline the importance of the patient's underlying health condition and regenerative capacity for prediction of ECMO outcome.