Sentence examples for fairly predictive from inspiring English sources

For many relatively rare diseases, fairly predictive tests exist.

Even though this experimental model gives fairly predictive and consistent development of classical scrapie and clinical signs at around the same time, individual differences may result in individual APP expression profiles.

Likewise, the TAS-based clusters were fairly predictive of the CN profiles, whereas the mutation status of the new cell lines could not be predicted accurately (data not shown).

These fairly good predictive results somehow validate the predictions we obtained in the complete proteomes of organisms, which uncovered a large set of proteins bearing domains with high compositional similarities to bona fide prions.

From the most extensive set of experimentally tested prion and non prion sequences in yeast [ 24] we have generated a probabilistic model of Q/N-rich prionogenic regions that has been thoroughly benchmarked to handle large sequence databases, yielding a fairly good predictive performance [ 27], and used it to predict prion-like proteins in all the complete proteomes available in public databases.

The models offer fairly good predictive ability.

Improved correlations were also proposed for spherical particles, SOPs and their blends with fairly good predictive accuracy.

For subsets of patients with claims for asthma or COPD, the claims have fairly high predictive ability for identifying actual diagnoses.

The models developed here, using human cases as the indicator of persistence, provided fairly good predictive power (with AUC values of 0.88 and 0.89) and highlight a series of variables that, although correlated among themselves, differentiated HPAI's epidemiological environments.

A retrospective cohort study was conducted to identify predictors of growth hormone (GH) deficiency (GHD) in children seen for short stature, and to construct a very sensitive and fairly specific predictive tool to avoid unnecessary GH provocative tests.

Revealed nodes are randomly selected to fairly compare the predictive power of each feature by obtaining uniformly distributed feature observation.