Ontologies for the representation of electronic medical records: the obstetric and neonatal ontology

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dc.creatorMauricio Barcellos Almeida
dc.creatorFernanda Farinelli
dc.date.accessioned2025-07-07T20:55:32Z
dc.date.accessioned2025-09-09T01:15:57Z
dc.date.available2025-07-07T20:55:32Z
dc.date.issued2017
dc.format.mimetypepdf
dc.identifier.doi10.1002/asi.23900
dc.identifier.issn23301635
dc.identifier.urihttps://hdl.handle.net/1843/83387
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofJournal of the Association for Information Science and Technology (JASIST)
dc.rightsAcesso Restrito
dc.subjectCiência da informação
dc.subjectOntologia
dc.subjectRepresentação da informação
dc.subjectSistemas de organização do conhecimento
dc.subjectBiomedicina
dc.subject.otherOntologia
dc.subject.otherSistemas de organização do conhecimento
dc.subject.otherRepresentação da informação
dc.subject.otherRepresentação do conhecimento
dc.subject.otherBiomedicina
dc.titleOntologies for the representation of electronic medical records: the obstetric and neonatal ontology
dc.typeArtigo de periódico
local.citation.epage2542
local.citation.spage2529
local.citation.volume68
local.description.resumoOntology is an interdisciplinary field that involves both the use of philosophical principles and the development of computational artifacts. As artifacts, ontologies can have diverse applications in knowledge management, information retrieval, and information systems, to mention a few. They have been largely applied to organize information in complex fields like Biomedicine. In this article, we present the OntoNeo Ontology, an initiative to build a formal ontology in the obstetrics and neonatal domain. OntoNeo is a resource that has been designed to serve as a comprehensive infrastructure providing scientific research and healthcare professionals with access to relevant information. The goal of OntoNeo is twofold: (a) to organize specialized medical knowledge, and (b) to provide a potential consensual representation of the medical information found in electronic health records and medical information systems. To describe our initiative, we first provide background information about distinct theories underlying ontology, top-level computational ontologies and their applications in Biomedicine. Then, we present the methodology employed in the development of OntoNeo and the results obtained to date. Finally, we discuss the applicability of OntoNeo by presenting a proof of concept that illustrates its potential usefulness in the realm of healthcare information systems.
local.publisher.countryBrasil
local.publisher.departmentECI - DEPARTAMENTO DE ORGANIZAÇÃO E TRATAMENTO DA INFORMAÇÃO
local.publisher.departmentECI - DEPARTAMENTO DE TEORIA E GESTÃO INFORMAÇÃO
local.publisher.initialsUFMG
local.url.externahttp://onlinelibrary.wiley.com/doi/10.1002/asi.23900/full

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