=Paper=
{{Paper
|id=Vol-3805/ICBO-2022_paper_6701
|storemode=property
|title=The Ontology of Adverse Events in 2022
|pdfUrl=https://ceur-ws.org/Vol-3805/ICBO-2022_paper_6701.pdf
|volume=Vol-3805
|authors=Qiuyue Yang,Jun Su,Xue Zhang,Yongqun He, Jiangan Xie
|dblpUrl=https://dblp.org/rec/conf/icbo/YangSZHX22
}}
==The Ontology of Adverse Events in 2022==
The Ontology of Adverse Events in 2022
Qiuyue Yang1, Jun Sun1, Xue Zhang1, Yongqun He2, and Jiangan Xie2
1
School of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, China
2
University of Michigan Medical School, Ann Arbor, MI, USA.
Abstract
The Ontology of Adverse Events (OAE) was launched in 2014 to define, standardize and
integrate various adverse events (AEs) arising subsequent to medical interventions (such as
vaccination, drug administration, and surgery). The AE term system of OAE has grown
steadily since OAE has successfully been applied in many adverse event studies. Here, we
present recent major extensions of the OAE for patient anatomic regions and clinical
outcomes (e.g., symptoms, signs, and abnormal process). Up to now, OAE has 10,829 terms
with unique identifiers, including 10,589 classes, 120 object properties, 3 datatype properties,
113 annotation properties, and 4 instances. Compared to the 3,088 ontology terms included in
the last OAE publication in 2014, 7,741 new terms (over twofold more terms) have been
added to OAE, which representing significant progress of the ontology. We have also
reviewed recent studies using OAE for representing and classifying the adverse events
associated with specific medical interventions (e.g., drug administration and vaccination). The
OAE ontological framework provides a platform for systematic representation and analysis of
adverse events and of the factors (e.g., vaccination route and age) important for determining
their clinical outcomes.
Keywords
Ontology, adverse event, medical intervention, OAE, Ontology of Adverse Events
ICBO 2022, September 25-28, 2022, Ann Arbor, MI, USA
EMAIL: xjahardy@hotmail.com (A. 1); yongqunh@med.umich.edu (A. 2)
ORCID: 0000-0003-0958-3364 (A. 1); 0000-0001-9189-9661 (A. 2)
2022 Copyright for this paper by its authors. Use permitted under Creative
Commons License Attribution 4.0 International (CC BY 4.0).
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