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The pre-eclampsia ontology: A disease ontology representing the domain knowledge specific to pre-eclampsia

journal contribution
posted on 2024-11-02, 19:57 authored by Satoshi Mizuno, Soichi Ogishima, Hidekazu Nishigori, Daniel Jamieson, Cornelia VerspoorCornelia Verspoor, Hiroshi Tanaka, Nobuo Yaegashi, Jun Nakaya
Pre-eclampsia (PE) is a clinical syndrome characterized by new-onset hypertension and proteinuria at ≥20 weeks of gestation, and is a leading cause of maternal and perinatal morbidity and mortality. Previous studies have gathered abundant data about PE such as risk factors and pathological findings. However, most of these data are not semantically structured. Clinical data on PE patients are often generated with semantic heterogeneity such as using disparate terminology to describe the same phenomena. In clinical studies, interoperability of heterogenic clinical data is required in various situations. In such a situation, it is necessary to develop an interoperable and standardized semantic framework to research the pathology of PE more comprehensively and to achieve interoperability of heterogenic clinical data of PE patients. In this study, we developed an ontology representing clinical features, treatments, genetic factors, environmental factors, and other aspects of the current knowledge in the domain of PE. We call this pre-eclampsia ontology "PEO". To achieve interoperability with other ontologies, the core structure of PEO was compliant with the hierarchy of the Basic Formal Ontology (BFO). The PEO incorporates a wide range of key concepts and terms of PE from clinical and biomedical research in structuring the knowledge base that is specific to PE; therefore, PEO is expected to enhance PE-specific information retrieval and knowledge discovery in both clinical and biomedical research fields.

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  1. 1.
    DOI - Is published in 10.1371/journal.pone.0162828
  2. 2.
    ISSN - Is published in 19326203

Journal

PLoS ONE

Volume

11

Number

e0162828

Issue

10

Start page

1

End page

12

Total pages

12

Publisher

Public Library of Science

Place published

United States

Language

English

Copyright

Copyright: © 2016 Mizuno et al. This is an open access article distributed under the terms of the Creative Commons Attribution License.

Former Identifier

2006114754

Esploro creation date

2022-09-16

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