The following project attempts to create a knowledge structure that can classify and describe information related to seizures and epilepsies. This is done by creating what is known as an 'ontology' which represents concepts specific to the domain of epilepsy. Intrinsic to which is describing/illustrating/demonstrating the relationships between the individual ‘pieces’ of information.
A classification system for epileptic seizures: The proposed classification for epilepsy seizures in the 2010 report has been criticized for not using the 2006 ILAE classification core group report (Engel, 2006), discarding terms (e.g., complex focal seizures), and the absence of terms to describe status epilepticus (Panayiotopoulos, 2011). The critical review recommended building consensus around the classification of “focal, myoclonic, or absence seizures,” but did not offer a specific model for classifying seizures (Panayiotopoulos, 2011).
Neural ElectroMagnetic Ontologies (NEMO) models electrophysiologic data terms, including electroencephalography (EEG) and functional Magnetic Resonance Imaging (MRI) related terms (Dou et al., 2007),
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