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The ontology of medically related social entities: recent developments

BACKGROUND: The Ontology of Medically Related Social Entities (OMRSE) was initially developed in 2011 to provide a framework for modeling demographic data in Resource Description Framework/Web Ontology Language. It is built upon the Basic Formal Ontology and conforms to Open Biomedical Ontologies Fo...

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Detalles Bibliográficos
Autores principales: Hicks, Amanda, Hanna, Josh, Welch, Daniel, Brochhausen, Mathias, Hogan, William R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942889/
https://www.ncbi.nlm.nih.gov/pubmed/27406187
http://dx.doi.org/10.1186/s13326-016-0087-8
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author Hicks, Amanda
Hanna, Josh
Welch, Daniel
Brochhausen, Mathias
Hogan, William R.
author_facet Hicks, Amanda
Hanna, Josh
Welch, Daniel
Brochhausen, Mathias
Hogan, William R.
author_sort Hicks, Amanda
collection PubMed
description BACKGROUND: The Ontology of Medically Related Social Entities (OMRSE) was initially developed in 2011 to provide a framework for modeling demographic data in Resource Description Framework/Web Ontology Language. It is built upon the Basic Formal Ontology and conforms to Open Biomedical Ontologies Foundry’s best practices. DESCRIPTION: We report recent development of OMRSE which includes representations of organizations, roles, facilities, demographic data, enrollment in insurance plans, and data about socio-economic indicators. CONCLUSIONS: OMRSE’s coverage has been expanding in recent years to include a wide variety of classes and has been useful in several biomedical applications.
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spelling pubmed-49428892016-07-14 The ontology of medically related social entities: recent developments Hicks, Amanda Hanna, Josh Welch, Daniel Brochhausen, Mathias Hogan, William R. J Biomed Semantics Research BACKGROUND: The Ontology of Medically Related Social Entities (OMRSE) was initially developed in 2011 to provide a framework for modeling demographic data in Resource Description Framework/Web Ontology Language. It is built upon the Basic Formal Ontology and conforms to Open Biomedical Ontologies Foundry’s best practices. DESCRIPTION: We report recent development of OMRSE which includes representations of organizations, roles, facilities, demographic data, enrollment in insurance plans, and data about socio-economic indicators. CONCLUSIONS: OMRSE’s coverage has been expanding in recent years to include a wide variety of classes and has been useful in several biomedical applications. BioMed Central 2016-07-12 /pmc/articles/PMC4942889/ /pubmed/27406187 http://dx.doi.org/10.1186/s13326-016-0087-8 Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Hicks, Amanda
Hanna, Josh
Welch, Daniel
Brochhausen, Mathias
Hogan, William R.
The ontology of medically related social entities: recent developments
title The ontology of medically related social entities: recent developments
title_full The ontology of medically related social entities: recent developments
title_fullStr The ontology of medically related social entities: recent developments
title_full_unstemmed The ontology of medically related social entities: recent developments
title_short The ontology of medically related social entities: recent developments
title_sort ontology of medically related social entities: recent developments
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942889/
https://www.ncbi.nlm.nih.gov/pubmed/27406187
http://dx.doi.org/10.1186/s13326-016-0087-8
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