Our prediction model could predict the primary outcome, one-year U-RTW, in 'intermediate' and 'high' risk patients, but with less precision in 'low' risk patients.
The initial prediction result indicated that the established model could predict the hot cracking rate adequately within the range of welding parameters being used.
For a decision threshold of 0.33, sensitivity and negative predictive values were 100%, which indicated that this model could predict insignificant fibrosis with the highest accuracy.
The extended model could predict the indentation loading and unloading response accurately and provided improved predictions of the residual state.
A visual predictive check per study did, however, show that the present model could predict EPS after haloperidol both in the open-label study and when used as comparator (data not shown).
It was shown that that the proposed SVR model could predict the golden time accurately.
It was found that the analytical model could predict the measured temperatures reliably.
While Shaman's humidity model could predict the average timing of many flu seasons, it wasn't powerful enough to draw conclusions on any single season.
R2 value was 0.9747 in the final ANN model indicating this model could predict hardness values, appropriately.
The model could predict the ratio of total organic carbon content to a maximum error of only ∼6%.
The model could predict the steady state DMS concentration profiles by calculating the advection, diffusion and Langmuir Hinshelwood reaction kinetics.
