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Finally, artificial neural network has been applied to compare the predicted values with the experimental values, the deviations are found in the range of 3.7%, it shows good agreement between the predictive model results and the experimental measurements.
Calibration of the model was assessed using the Hosmer-Lemeshow statistic (P > 0.05 for no significant difference between the predictive model and the observed data) [ 20].
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The Chow test results were not significantly different between the predictive models and the three different tests suggesting that the benzene, toluene, ethylbenzene, (m+p) xylene, o-xylene and total BTEX models developed were quite stable.
Additionally, there is usually a tradeoff between complexity of the predictive model and its generalization power.
The objective function is based on the difference between outputs of the predictive model and reference trajectory.
In this context, most research works assume good agreement between electrical parameters of the predictive model and the real machine, on the basis of nominal values.
These views are in line with those of clinicians in the German study, who also expressed concerns about a time lag between the analysis with the predictive model and the intervention with patients [ 8].
Interestingly, the levels of agreement between the three individual-level measures of health literacy were comparable with those between the individual measures and the predictive model.
This is often done using a design that compares outcomes between providers provided with output from the predictive model to a control group without the predictive model.
The predictive model suggested additive interactions between the most informative regions such as 8p22-12 and 8q13-22.
Nomogram of the predictive model.
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