Sentence examples for enhanced prediction accuracy from inspiring English sources

The top 10 ranked predictive pathways in COAD and OV were biologically relevant to their respective cancer stages and significantly enhanced prediction accuracy and area under the ROC curve (AUC) when compared to single data-type analyses.

Enhanced prediction accuracy of the RKS model is also established by comparing the mean absolute error in the predicted values obtained using the proposed RKS model with those of the ANN model (Nehdi et al. 2001), in which the average absolute value of the predicted filling capacity, slump value, segregation resistance and compressive strength were 0.05, 0.04, 0.07 and 0.07 respectively.

Heteroskedastic error WGP models showed improved model fit and enhanced prediction accuracy compared to homoskedastic error WGP models although the magnitude of the improvement was small (less than two percentage points net gain in prediction accuracy).

To determine whether combining basic neurologic examination measurements with posttraumatic amnesia (PTA) duration can enhance prediction accuracy in moderate-to-severe traumatic brain injury (TBI).

In this study, two methods called combined season-multilayer perceptron (SAS-MP) and hybrid wavelet-season-multilayer perceptron (W-SAS-MP) were developed to enhance prediction accuracy and extend prediction lead time of daily rainfall up to 5 days by using data from two stations in Turkey.

The proposed algorithm combines a curve matching framework and KF to enhance prediction accuracy of target tracking.

These results demonstrated that the LLL model based averaging scheme is an efficient way for enhancing prediction accuracy of acute toxicity prediction.

This structure can then be used to guide propagation of feedback between classifiers (also known as active learning), and to enhance prediction accuracy over individual binary classifiers.

Regarding the available research works in the area, new forecasting approaches and techniques of input output data manipulations are still in demand in order to enhance prediction accuracy and decrease the uncertainty in wind power forecasting, while keeping practically acceptable computation time.

In order to enhance prediction accuracy, our proposed model takes all these factors into consideration.

We show that the integration of such biological features with previously identified characteristics of mature miRNAs such as the distance from the closest hairpin [24], [27], can significantly enhance prediction accuracy.