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This signifies that the criteria set has been quantitatively validated using patient data, and it has undergone validation based on an independent data set.
To validate the channel assignment model in SICA, we use mathematical validation based on Markov chains.
Validation based on sodium experimental data is briefly presented.
The instruments provide content and construct validation based on data triangulation as a strategy.
In the results section, a validation based on a dataset from Forrest and Honig is given.
Moreover, assisting points coded +α and −α were considered for model validation based on the models.
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Model-based and cross-validation based sensitivities and specificities are displayed in Table 3.
We also develop a cross-validation based method – Held-Out Predictive Evaluation (HOPE) – for assessing this approach.
The comparison was conducted using 10 times 10-fold cross-validation based on the criterion of sensitivity, specificity, accuracy (ACC), and area under the ROC curve (AUC).
Note that all the evaluation results are obtained by a twofold cross-validation based on the parity of the topic numbers.
Figure 7 presents the sensitivity, specificity, and accuracy of cross-validation based on various window lengths.
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