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An important issue in this regard is that model qualification by regulators is not only model validation per se but an evaluation of the modeling and simulation approach as an integral part of drug development.
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Table S2: Model results and statistical evaluation of the models.
The implementation and evaluation of the models are analyzed.
This phase consists of the simulation of the process and the evaluation of the model.
First, use each fitting index to make an overall evaluation of the model.
However, they did not perform an evaluation of the model using living tissue data.
We perform the quantitative evaluation of the model by Monte Carlo simulation.
Evaluation of the models finds ANN models superior and some regression models with an acceptable performance.
One of the quantitative statistical parameters chosen for evaluation of the model was the Nash-Sutcliffe [41] efficiency (NSE).
A thorough discussion on the derivation and the evaluation of the models is presented.
Distinctive statistical evaluation of the models was performed in terms of well-known statistical indicators.
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