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Every four hours, pathogen levels predicted by the predictive model were compared to pathogen levels obtained from the patient model.
With predictive analytics, the greatest value usually comes not from insights per se, but from the per-individual predictions generated by the predictive model.
The evaluation of the models' fitness is performed by comparing the proportion of the variance explained (PVE) by the predictive model, and the root mean squared error (RMSE) [80] (see Eqs. 1 and 2).
Eventually, each patient would have a diagnosis of the primary tumor site by the predictive model.
Because the brother class labels are more easily to be confused by the predictive model.
Liver cirrhosis was diagnosed by the predictive model of cirrhosis in patients with CHC based on standard laboratory tests [ 14].
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The prediction results obtained by the predictive models satisfied the goals of our work for the prediction accuracy of 3D MAE of 1 mm for 1-second prediction horizon while the computational time was well shorter than the real treatment time.
While we observed a slight decrease in specificity relative to the bootstrap estimate, sensitivity measures were 89% and 91%, respectively, which is comparable to the sensitivity estimate obtained by bootstrapping the predictive model training data (87.3% ± 10.4%, see Figure 2 source data 1).
On this basis, the number of school-aged children at risk of significant schistosomiasis transmission was quantified by overlaying the predictive model map of presence or absent of infection developed on population database for school-aged (5 14 years) children in the State to create a suitability risk map.
The response surface modeling of the parameters obtained by the predictive models showed acceptable correlation for mesophiles (R2 = 0.815 0.977) but not for yeasts (R2 = 0.618 0.815).
This is a dreadfully high number, but it is worth remembering the estimates that were produced by the predictive models on that day.
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