**6. Generalization of prediction**

A new method is proposed for generalization of prediction. There are a few limitations using generalization of epileptic seizure prediction. One of the limitations is the variation issue. Focal seizures are particular to the part of the brain.

#### **Figure 14.**

*Continuous seizure data with false positive values.*


#### **Table 15.**

*Sensitivity, specificity and classification accuracy using epileptic zone for prediction for all patients from source localization in Table 14.*


#### **Table 16.**

*Sensitivity, specificity and over all accuracy obtained for generalization of prediction.*

Generalization of seizure prediction is possible with the help of epileptic source localized perfectly with clinical support using PET, FMRI, etc. For this work, the results of source localization are used. **Table 14** shows the results obtained from source localization. The data of these six patients are considered and a generalization is applied by averaging of the each level. The results obtained are as tabulated above in **Table 16**.

From the above table it can be noticed that the sensitivity obtained by generalization is 81.7%, while the specificity is 76.2%. The overall prediction accuracy stands at 79.75%.
