Sentence examples for tailored prediction from inspiring English sources

Multivariate modeling of SPC risk will facilitate the construction of a tailored prediction tool to optimize SPC prevention and early detection strategies.

They use predictive algorithms to scour data for complex relationships most associated with default, which are then combined into a tailored prediction of credit risk.

Equations were fitted to describe ρcell in relation to the position (r) within the pellet, allowing accurate and tailored prediction of oxygen tension profiles for cartilaginous pellets with various sizes for each individual patient.

Many studies rely on parameter estimation to link models and data, and to tailor predictions and counterfactuals to specific settings.

Nevertheless, groundbreaking work presented at this exciting conference exemplified the current potential of these approaches to produce systems biology models of biological interactions, explore sources of biological heterogeneity and emerging regulatory mechanisms, and inform disease prognosis and outcome, potentially tailoring predictions to each individual.

Furthermore, as there are no individual-specific risk prediction tools akin to those used for selected primary cancers [ 15], the use of the multivariate approach described in this paper will allow a determination of which clinical characteristics are associated with the risk of SPC for a given site of first cancer, enabling the construction of a tailored risk prediction tool.

For example, such individualised information is available from nomograms, which present tailored individual predictions of clinical outcomes based on patient characteristics known to be predictive of the outcome of interest.

Over time, a personalized user dictionary can be built up to offer tailored work predictions based on the languages you regularly type.

This paper aims to present the capabilities of Build-X, a recently developed knowledge-based system tailored to the prediction of the seismic response of 3D buildings.

For example, comprehensive cardiac models are developed that are tailored to the prediction of cardiac liability (see for overview).

The recognition that complex human traits and diseases could be affected by a large number of genes has motivated many researchers in other fields (Lee et al. 2008; Wray et al. 2008; Purcell et al. 2009; Hill 2010; Yang et al. 2010; de los Campos et al. 2010a) to propose the use of statistical methods tailored for the prediction of complex traits.