The Epilepsy ontology is an ontology that describes the process of diagnosis about epilepsy. Through this ontology it is possible to define and describe every epileptic seizure in a semiological way. We defined, in collaboration with neurophysiologists, a set of 30 symptoms that could appear during a seizure.
The graph that came out from this ontology is used to automatically classify temporal or extratemporal lobe epilepsies, starting from observed symptoms in a seizure.
You can download the ontology here: Epilepsy.owl
Please reference the following publication:
Kassahun Y, Perrone R, De Momi E, Berghofer E, Tassi L, Canevini MP, Spreafico R, Ferrigno G, Kirchner F. 2014. Automatic Classification of Epilepsy Types Using Ontology-based and Genetic based Machine Learning. Artificial Intelligence in Medicine.
URL: http://www.sciencedirect.com/science/article/pii/S0933365714000207
Affiliations:
- Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy;
- Fachbereich 3 - Mathematics and Computer Science, University of Bremen, Robert-Hooke-Str. 5, D-28359 Bremen, Germany;
- Epilepsy Center (DDEP), San Paolo Hospital, Via A. Di Rudini 8, 20142 Milan, Italy;
