Sentence examples for a superior accuracy from inspiring English sources

The cross-validation results demonstrated that the proposed model has a superior accuracy and mean absolute percentage errors lower than 10%.

It is shown that BIMGQ has a superior accuracy for the Golovin kernel and a monotonic convergence behavior for hydrodynamic kernels.

The major advantage of DNNs is that they can discover some structure in the training data and consequently incrementally modify the data representation, resulting in a superior accuracy of trained networks.

Presumably, the results indicate a superior accuracy of the maps that have been SNP-genotyped.

Furthermore, comparison of thromboelastometry findings with the conventional biomarkers procalcitonin, interleukin 6, and C-reactive protein demonstrates a superior accuracy of the thromboelastometry lysis index in identifying patients with severe sepsis in critically ill patients.

We introduce a gene regulatory network inference algorithm ENNET, which reverse-engineers networks of transcriptional regulation from a variety of expression profiles with a superior accuracy compared to the state-of-the-art methods.

Using data sets from this material, we show in our current study that GS has a consistently superior accuracy of prediction in comparison to MAS.

When HCC patients were compared to non HCC patients, the area under curve (AUC) for OPN (0.51; 95 % CI: 0.39 0.63) was lower than that of AFP (0.79; 95 % CI: 0.70 0.89), suggesting a non superior accuracy to AFP for the diagnosis of HCC.

In 1997, Ransohoff et al. reported 30 to 50% sensitivity at 84 to 96% specificity for FOBTs [ 39]. iFOBT displayed higher sensitivity of 61 91% for CRC and showed a clinically superior accuracy [ 40] at specificity varying from 91%to98%8% [ 41].

We present a new model and the Stanford Online Calculator developed from a Northern California and Oregon database with superior accuracy and simplicity (three versus eight required patient variables) compared to the Memorial Sloan-Kettering Breast Cancer Nomogram for our dataset and another independent dataset.

Bayesian networks are ideal for combining these features into a predictive model with superior accuracy and transparency compared to the only other proposed stability predictor.