In several solid tumours, quantification of densities of various T-cell subsets, including CD8+, CD4+ Treg cells (FoxP3+CD4+), or subset ratios, have been suggested to improve predictive power over that of absolute T-cell number (CD3+; Gooden et al, 2011).
It would seem intuitively obvious that the larger amount of information obtained from measurements at many frequencies should provide better characterization of tissue properties and hence improve predictive power, that is, decrease expected error.
Perhaps additional genetic biomarkers or clinical measures could be combined with PKC-β to improve predictive power and to better characterize the relative risks for patients in the IPI low- or high-risk groups.
For improved predictive power, STAT-Scanner was therefore designed to use combined PWMs of binding specificity similar to STAT3.
Moreover, combining MRI with protein measures did not improve predictive power in contrast to previous studies where CSF marker performance was improved in combination with MRI [41].
Addition of quantitative assessment might improve predictive power of interim scans.
These methods can improve predictive power by capturing higher order (and complex, nonlinear) joint feature effects.
A model with DCGs and the diabetes-specific measure modestly improved predictive power.
Using the methods presented here, the analysis could be improved significantly, increasing the predictive power of the used model.
Numerous advances powered by technologies like predictive analytics and location intelligence are improving the way the entire supply chain makes use of data.
