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Innovative predictive measures (eg, specified prediction tools) and implementing rapid diagnostic techniques could shorten the time to initiation of polymyxins in the population that would truly benefit from their earlier initiation, while limiting exposure in those who would not.
Finally, the correlation coefficients between the predicted HOMA-IR values (based on four different sets of predictive measures) and the observed HOMA-IR values were calculated for participants in each of the four BMI groups (lean, overweight, obese I, and obese II).
Figure 4 Sub-graph configurations underlying predictive measures.
Recently several authors investigated how AD clinical trials can be made more efficient using predictive measures from such computational methods.
The newly proposed pore-scale model and the present numerical results compare favourably with numerical data, experimental data and other predictive measures reported in the literature.
The N3 model outperformed the other 4 models in Table 4 on all five criteria that were used for this comparison (R2 as well as the predictive measures).
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The algorithm(s) can subsequently be applied to data from clinical trials, observational studies or economic models containing the source predictive measure(s) to predict health utility values in contexts where the target generic preference-based measure is absent.
HbA1c increased as cardiovascular risk factors increased and HbA1c of 5.45% predicted the presence of MS. HbA1c might be a predictive measure of IFG and MS, and also cardiovascular risk factors in the Korean population.
Therefore, LFIS like HAQ (a disability metric which predicts poor outcome when high at disease onset) may be an important predictive measure of future localised disease impact [ 16, 18].
Main Outcome Measures: The main predictive measure was ethnicity, reported as non-Hispanic white, black, or Hispanic.
This index may provide a useful predictive measure for pregnant women in whom the plasma volume does not expand.
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