DAAL: A Deep Aggregated Assemble Learning Model for detecting Epileptic patients from EEG

Abstract

In this study, we developed a Deep Aggregated Assemble Learning(DAAL) model to diagnose Epilepsy that uses two-step learning and generates the final prediction utilizing the output predictions of the level 0 classifier model. In level 0 CNN, RNN and ANN model has been used, and then a prediction algorithm has been used which predicts the final output from each of the probability vector coming from each model.