Sentence examples for more detailed predictive from inspiring English sources

The model's predictive accuracy (as demonstrated by leave-one-out cross-validation) is comparable to a previously developed, more detailed predictive model.

A secondary objective of this study was to compare the prognostic capacity of these subgroups with that of a more detailed predictive model comprised of variables describing pain location, pain intensity and number of neurological signs.

The results showed that the more detailed predictive model had somewhat greater prognostic capacity, explaining between 10.6 % and 13.1 % of the variance in outcome, compared with 1.0%and1.4%.4 % for the Quebec Task Force Classification System.

Arm pain intensity and dominating arm pain were the only significant factors in the more detailed predictive model with activity limitation as the outcome, and this model explained 11%% of the variance (RMSE 9.66).

In the more detailed predictive model, arm pain intensity, arm pain location, dominating arm pain and having more than one neurological sign were significantly associated with 12-month pain and explained 13%% of the variance in the pain intensity outcome (RMSE 2.26).

A secondary objective was to compare the prognostic capacity of the Quebec Task Force Classification System with that of a more detailed predictive model that included the individual variables that make up the Quebec Task Force Classification system (pain location, pain intensity and number of neurological signs).

Comparing the kinetics with recent molecular dynamics simulations on the microsecond timescale may lead to more detailed and predictive folding models.

A comparison between the raw GCS and more detailed ICU predictive models demonstrated the better performance of the models and thus reflects the contribution of extracranial physiological factors to outcome after head injury.

It can be used to get more detailed insights to derive predictive analysis.

Further research is needed using more detailed measures of existing predictive variables and identification of other factors beyond those observed in this study that explain a greater proportion of the variability in outcome to improve our ability to identify patients at risk of poor outcomes from THR surgery.

However, to obtain a fully predictive model, a more detailed knowledge regarding parameters of individual interactions might be necessary.