Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care. (18th May 2013)

• Record Type: Journal Article
• Authors: Sahoo, Satya S; Lhatoo, Samden D; Gupta, Deepak K; Cui, Licong; Zhao, Meng; Jayapandian, Catherine; Bozorgi, Alireza; Zhang, Guo-Qiang
• Is Part Of: Journal of the American Medical Informatics Association. Volume 21:Number 1(2014:Jan.)
• Page Start: 82
• Page End: 89
• Publication Date: 2013-05-18
• Subjects: Epilepsy and Seizure Ontology -- Patient Data Capture -- Clinical Free Text Processing -- Clinical Data Integration; Medical informatics -- Periodicals; Information Services -- Periodicals; Medical Informatics -- Periodicals; Médecine -- Informatique -- Périodiques; Informatica; Geneeskunde; Informatique médicale; Computer network resources; Electronic journals; 610.285
• DOI: 10.1136/amiajnl-2013-001696
• Languages: English
• ISSNs: 1067-5027

Abstract

Abstract: Objective Epilepsy encompasses an extensive array of clinical and research subdomains, many of which emphasize multi-modal physiological measurements such as electroencephalography and neuroimaging. The integration of structured, unstructured, and signal data into a coherent structure for patient care as well as clinical research requires an effective informatics infrastructure that is underpinned by a formal domain ontology. Methods We have developed an epilepsy and seizure ontology (EpSO) using a four-dimensional epilepsy classification system that integrates the latest International League Against Epilepsy terminology recommendations and National Institute of Neurological Disorders and Stroke (NINDS) common data elements. It imports concepts from existing ontologies, including the Neural ElectroMagnetic Ontologies, and uses formal concept analysis to create a taxonomy of epilepsy syndromes based on their seizure semiology and anatomical location. Results EpSO is used in a suite of informatics tools for (a) patient data entry, (b) epilepsy focused clinical free text processing, and (c) patient cohort identification as part of the multi-center NINDS-funded study on sudden unexpected death in epilepsy. EpSO is available for download at http://prism.case.edu/prism/index.php/EpilepsyOntology . Discussion An epilepsy ontology consortium is being created for community-driven extension, review, and adoption of EpSO. We are in the process of submitting EpSO to the BioPortal repository. Conclusions EpSO plays a critical role in informatics tools for epilepsy patient care and multi-center clinical research.