Sentence examples for make relevant predictions from inspiring English sources

"That agency is better able than a court to assemble relevant facts (e.g. regarding harm caused to present Medicaid patients) and to make relevant predictions (e.g. regarding furtherance of Medicaid-related goals)," Justice Breyer said.

It is shown that ANNs, when generalized by the results of finite element analyses (FEAs), can make relevant predictions for routine design work with a comparable degree of accuracy of the FEA.

The majority of professional astrologers rely on performing astrology-based personality tests and making relevant predictions about the remunerator's future.

These correlated significantly with murine survival, and were also used to group the isolates, and this grouping made relevant predictions regarding their murine virulence.

However, making relevant predictions of how molecular events affect cellular and tissue phenotypes will involve computational multilevel models that are much richer in biological knowledge and data than the model presented here.

Data-centric approaches that compute on massive amounts of data to discover patterns and to make clinically relevant predictions will gain adoption" [ 79].

This suggests that STORK finds sufficient structure within embryos classified as fair-quality to make clinically relevant predictions (Fig. 4).

Finally, we demonstrated how the model could be used to make clinically relevant predictions regarding the outcome of alternative growth-factor schedules after chemotherapy.

These models, which are dependent on accurate fiber bundle data, can be used to make clinically relevant predictions about the functional deficits caused by rotator cuff tendon tears and the functional outcomes following surgery and rehabilitation [ 26, 27].

It's very likely that Google will show a progression toward making more relevant predictions and personalization.

The results demonstrate that our method performs substantially better than state-of-the-art classification methods, and is able to make new clinically relevant predictions for key amplicons and candidate marker genes.