Sentence examples for improved predictive model of from inspiring English sources

An improved predictive model of response was identified by removing features in the 180-gene predictor that introduced noise.

We also found that balancing the number of presences and absences in a training data set by down-sampling did not improve predictive models of species distributions, and did not eliminate the need to optimize thresholds.

Attention is still required to improve predictive models of infection and pharmacokinetic studies to evaluate leads and appropriate diagnostic methods to improve interpretation of clinical trials.

These laboratory results are in general agreement with full-scale measurement and can be used to improve predictive models of PCDD/F formation.

Temperature and precipitation data are already used to forecast meteorologically sensitive IDs, but more driver data could support improved predictive models covering a much broader range of IDs.

It could potentially be leveraged to improve predictive model performance in other areas of clinical medicine.

In this context we discuss three main avenues of research: expanding our knowledge of the genetic architecture of facial morphology, improving the predictive modeling of facial morphology by exploring and incorporating alternative prediction models, and increasing the value of the results through the weighted encoding of physical measurements in terms of human perception of faces.

The addition of variables relating to a diagnosis of bipolar disorder or schizophrenia improved the accuracy of a predictive model of cardiovascular risk for those with these diagnoses (Osborn et al. 2015).

Hence, developed QSAR modeling workflow, build a model with whole set of descriptors to confirm that elimination of irrelevant or non informative variables is improving predictive power of given model.

However, Yiannakoulia and Svenson [ 10] found that inclusion of data on corvids did not improve predictive powers of their models for WNV spread in Alberta, Canada.

The idea is aimed at improving predictive capability of a data-driven model by combining different models within a composite data-driven model.