Sentence examples for modeling specificity from inspiring English sources

Characteristics associated with not having a CMS-2728 NH indicator among those without an MDS record (i.e., modeling specificity), included Hispanic ethnicity, serum albumin, and predialysis care.

Several machine learning algorithms have recently been applied to modeling the specificity of HIV-1 protease.

Furthermore, focusing on children with suspected SBI rather than all children with serious illness allowed inclusion of clinical risk factors specific to infection, and may have helped improve model specificity.

For model specificity, the specificity of FSP + CVHI + inflammatory cytokine model alone exceeded 90%.

Model specificity emerges from the DBS, so that model execution is carried out by the statecharts executing with the aid of specific data extracted from the DBS dynamically.

Receiver Operating Characteristic (ROC) analysis demonstrates that the coupled system (CRESLIDE) has higher specificity (94.10%) and higher sensitivity (11.36%) compared to the original SLIDE model (specificity = 93.32%, sensitivity = 10.23%) and a well-known landslide model (TRIGRS, whose sensitivity is 6.98%).

The x axis of the ROC plot represents the false-positive error rate, which is equal to 1 minus the model specificity, where the model specificity is the class prediction accuracy of nonignitions.

The ROC curve technique is based on plotting model sensitivity, true positive fraction values calculated for different threshold values versus model specificity, true negative fraction values on a graph (Deleo 1993).

The class prediction accuracy of fire ignitions is also known as the model sensitivity or the true-positive rate (TPR), while the class prediction of nonignitions is also known as the model specificity or the true-negative rate (TNR).

However, some TGFβ-related proteins exhibited model specificity implying that the TGFβ response is tailored to each condition.

The PD factor best accounted for Discrete time (31% of the total deviance) and Model specificity (18%).