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Results provide qualitative insights for use in VHSV surveillance and risk-management planning, and quantitative estimates of contextual risk for use in a Bayesian model combining multiple evidence streams for joint probability assessment of disease freedom status.
A hybrid model combining multiple gene selection methods could better identify novel biomarkers from high-throughput data for clinical utility.
These results demonstrate the feasibility of constructing a precise prognostic model combining multiple clinical, pathologic, and demographic factors.
However, a comprehensive MS outcome prediction model combining multiple parameters is still lacking.
A hybrid model combining multiple similarity measures was not considered, since the purpose of this work was to test the effect of different similarity measures when applied to different groups of terms.
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Because the PHENOFIT model combines multiple bioclimatic models, the calculation formula is complex.
The key contributions of the paper are: 1. Novel model to calculate brand perception from storylines Our model combines multiple classifier scores from large number of storylines to distill a comprehensive perception of a brand.
Thus, the choice of the N-removal process, the optimal selection of operational parameters and the establishment of validated dynamic models combining multiple N2O pathways are essential for studying the emissions mitigation.
As template-based methods are most efficient for protein 3D structure modeling, combining multiple threading alignment information should increase the accuracy and reliability of computational domain predictions.
In order to evaluate the performance of statistical models combining multiple biomarkers and/or clinical variables, values of multiple biomarkers were inputted into the model from the appropriate method, and in each case the output (predicted value) was between 0 and 1, with 0 being cirrhosis and 1 being cancer.
Hybrid models combine multiple of the previously discussed propagation models.
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