OAE: The Ontology of Adverse Events

OAE: The Ontology of Adverse Events
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DOI:
10.1186/2041-1480-5-29
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发表时间:
2014-07-05
影响因子:
1.9
通讯作者:
Smith, Barry
Smith, Barry
中科院分区:
工程技术4区
文献类型:
--
作者:
He, Yongqun;Sarntivijai, Sirarat;Smith, Barry

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背景:医疗干预是一种旨在减轻或预防疾病或伤害的医疗程序或应用。医疗干预的例子包括接种疫苗和给药。医疗干预后,可能会发生超出干预预期后果的不良事件(AEs)。不良事件本体论(OAE),以前称为不良事件本体论(AEO),是一个社区驱动的本体论,旨在标准化和集成与医疗干预后产生的不良事件相关的数据,并支持计算机辅助推理。OAE有3000多个具有唯一标识符的术语,包括从现有本体导入的术语和1800多个特定于OAE的术语。在OAE中,“不良事件”一词指的是患者在药物干预后发生的一种病理性的身体过程。OAE将因果不良事件定义为医疗干预的因果后果。OAE代表基于患者解剖区域和临床结果的各种不良事件,包括症状、体征和异常过程。OAE已被用于分析几种不同类型的疫苗和药物不良事件数据。例如,使用从疫苗不良事件报告系统(VAERS)提取的数据,OAE被用于分析与不同类型流感疫苗接种相关的疫苗不良事件。OAE也被用来表示和分类美国FDA批准的人类疫苗包装插页中引用的疫苗不良事件。结论:OAE是一个生物医学本体,对医疗干预后发生的各种不良事件进行逻辑定义和分类。OAE已成功应用于多项不良事件研究。OAE本体论框架为系统地表示和分析不良事件以及决定其临床结果的重要因素(例如,接种者的年龄)提供了一个平台。
Background: A medical intervention is a medical procedure or application intended to relieve or prevent illness or injury. Examples of medical interventions include vaccination and drug administration. After a medical intervention, adverse events (AEs) may occur which lie outside the intended consequences of the intervention. The representation and analysis of AEs are critical to the improvement of public health.Description: The Ontology of Adverse Events (OAE), previously named Adverse Event Ontology (AEO), is a community-driven ontology developed to standardize and integrate data relating to AEs arising subsequent to medical interventions, as well as to support computer-assisted reasoning. OAE has over 3,000 terms with unique identifiers, including terms imported from existing ontologies and more than 1,800 OAE-specific terms. In OAE, the term 'adverse event' denotes a pathological bodily process in a patient that occurs after a medical intervention. Causal adverse events are defined by OAE as those events that are causal consequences of a medical intervention. OAE represents various adverse events based on patient anatomic regions and clinical outcomes, including symptoms, signs, and abnormal processes. OAE has been used in the analysis of several different sorts of vaccine and drug adverse event data. For example, using the data extracted from the Vaccine Adverse Event Reporting System (VAERS), OAE was used to analyse vaccine adverse events associated with the administrations of different types of influenza vaccines. OAE has also been used to represent and classify the vaccine adverse events cited in package inserts of FDA-licensed human vaccines in the USA.Conclusion: OAE is a biomedical ontology that logically defines and classifies various adverse events occurring after medical interventions. OAE has successfully been applied in several adverse event studies. The OAE ontological framework provides a platform for systematic representation and analysis of adverse events and of the factors (e.g., vaccinee age) important for determining their clinical outcomes.