The empirical evaluation results suggest that the proposed call-behavior-based churn-prediction technique exhibits satisfactory predictive effectiveness when more recent call details are employed for the churn prediction model construction.
It was developed to address the problems of the cMap algorithm and to provide robustness and more accurate predictions for treatment effectiveness prediction and drug screening.
When this kind of medicine will be used clinically in the near future, the evaluation of expression levels of pTyr-proteins might be valuable for the prediction of effectiveness of tyrosine kinase inhibitors.
By using its ability to make correct predictions, the effectiveness of the IDS is evaluated based on four possible metrics namely true negative rate (TNR), true positive rate (TPR), false positive rate (FPR), and false negative rate (FNR).
Caution should be exercised when extrapolating any reported short-term outcomes from the studies to longer term predictions about effectiveness.
Models for disease progression in oncology can be used to predict clinical outcome, but these have not yet been applied for making predictions of cost effectiveness, or for predicting clinical outcome while considering key aspects such as toxicities, dose adjustments, and clinical treatment protocols.
These measures need accurate prediction of their effectiveness in changing behaviour.
Thus, evaluation of both probe and target site secondary structures together should improve hybridization prediction and design effectiveness.
We discuss how this measure of antigenic distance may be used in the context of annual influenza vaccine design and prediction of vaccine effectiveness.
