@article{Podgorelec_2012, title={Analyzing EEG Signals with Machine Learning for Diagnosing Alzheimer’s Disease}, volume={18}, url={https://eejournal.ktu.lt/index.php/elt/article/view/2627}, DOI={10.5755/j01.eee.18.8.2627}, abstractNote={In order to have the greatest treatment impact the early and accurate diagnose of Alzheimer’s disease (AD) is essential. In this paper we present a method for analyzing EEG signals with machine learning approach in order to diagnose AD. We show how to extract features out of EEG recordings to be used with a machine learning algorithm for the induction of AD classification model. The obtained results are very promising.<p>DOI: <a href="http://dx.doi.org/10.5755/j01.eee.18.8.2627">http://dx.doi.org/10.5755/j01.eee.18.8.2627</a></p>}, number={8}, journal={Elektronika ir Elektrotechnika}, author={Podgorelec, V.}, year={2012}, month={Oct.}, pages={61-64} }