title: The Pre-Eclampsia Ontology: A Disease Ontology Representing the Domain Knowledge Specific to Pre-Eclampsia.
abstract: 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.
authors: Department of Clinical Informatics, Tohoku University Graduate School of Medicine 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.|Department of Bioclinical Inforamtics, Tohoku Medical Megabank Organization, Tohoku University 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
authors: Satoshi
authors: S
authors: Mizuno
authors: Department of Bioclinical Inforamtics, Tohoku Medical Megabank Organization, Tohoku University 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
authors: Soichi
authors: S
authors: Ogishima
authors: Department of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
authors: Hidekazu
authors: H
authors: Nishigori
authors: Biorelate Ltd., Manchester, United Kingdom.
authors: Daniel G
authors: DG
authors: Jamieson
authors: Department of Computing and Information Systems, University of Melbourne, Parkville, VIC, Australia.
authors: Karin
authors: K
authors: Verspoor
authors: Department of Bioclinical Inforamtics, Tohoku Medical Megabank Organization, Tohoku University 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
authors: Hiroshi
authors: H
authors: Tanaka
authors: Department of Gynecology and Obstetrics, Tohoku University Graduate School of Medicine 1-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
authors: Nobuo
authors: N
authors: Yaegashi
authors: Department of Clinical Informatics, Tohoku University Graduate School of Medicine 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, Japan.
authors: Jun
authors: J
authors: Nakaya
mesh_terms: D064229:Biological Ontologies; D005260:Female; D006801:Humans; D011225:Pre-Eclampsia; D011247:Pregnancy; D009626:Terminology as Topic