Sentence examples for predictive of the accuracy of from inspiring English sources

This pattern was not seen in a recent investigation into proprioception at the joint-level [31], in which distance from fingertip to shoulder was not predictive of the accuracy of elbow angle estimation.

Building on the findings from chronic disease monitoring, we anticipate that the following physician, patient, encounter, and billing characteristics may be predictive of the accuracy of syndromic surveillance case definitions based on administrative data.

The sensitivity, specificity, positive predictive value and negative predictive value and the accuracy of MRM in the detection of recurrent disease on the surgical scar were calculated.

Interpretation of the accuracy of predictive models should, therefore, include some knowledge of the statistical tests used.

An appropriate study of this issue involves the comparison of the accuracy of a predictive model including only the established clinical variables with the accuracy of a model that included both the established variables and the new marker.

The execution of the lda function 50 times in LOO cross-validation mode for each of the datasets (unimodal or integrative according to the different imputation schemes) enables measurement of the accuracy of the predictive model for the case of melanoma class.

The predictive capabilities of these models depend on the accuracy of the particle particle contact dynamics.

Further, these data might be used to improve the accuracy of predictive models of thrombotic deposition in cardiovascular devices to help optimize the blood flow path and reduce device thrombogenicity.

Few articles were found that tested the accuracy of predictive outcomes of influenza vaccination cost models in actual practice.

The predictive accuracy of the proposed methodology depends on the accuracy of the genome-scale metabolic reconstructions and their reliable prediction of the transport fluxes under genetic perturbations and growth conditions [ 57- 60].

This paper compares the accuracy of different predictive models of individual consumers in district heating systems.