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首页> 外文期刊>Journal of the American Medical Informatics Association : >Epilepsy and seizure ontology: Towards an epilepsy informatics infrastructure for clinical research and patient care
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Epilepsy and seizure ontology: Towards an epilepsy informatics infrastructure for clinical research and patient care

机译:癫痫和癫痫发作本体:建立用于临床研究和患者护理的癫痫信息学基础设施

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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.
机译:目的:癫痫病涵盖了广泛的临床和研究子域,其中许多子域都强调多模式生理测量,例如脑电图和神经影像学。将结构化,非结构化和信号数据集成到用于患者护理和临床研究的一致结构中,需要有效的信息学基础结构,并以正式领域本体为基础。方法:我们使用四维癫痫分类系统开发了一种癫痫和癫痫本体论(EpSO),该系统集成了最新的国际抗癫痫联盟术语建议和美国国家神经疾病和中风研究所(NINDS)的通用数据元素。它从现有本体(包括神经电磁本体)中导入概念,并使用正式的概念分析根据癫痫综合征的癫痫发作符号学和解剖学位置来创建癫痫综合征的分类法。结果:EpSO被用于一系列信息学工具中,用于(a)患者数据输入,(b)癫痫病重点临床免费文本处理和(c)患者队列识别,这是由NINDS资助的多中心研究的突发性意外研究的一部分癫痫死亡。 EpSO可从http://prism.case.edu/prism/index.php/EpilepsyOntology下载。讨论:正在创建一个癫痫本体联盟,以社区驱动的方式扩展,审查和采用EpSO。我们正在将EpSO提交到BioPortal存储库。结论EpSO在癫痫患者护理和多中心临床研究的信息学工具中起着至关重要的作用。

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