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Developing an Ontology for Documenting Adverse Events While Avoiding Pitfalls.
Neuenschwander, Stefanie; Romao, Patricia; Holm, Jürgen; Sariyar, Murat.
Afiliação
  • Neuenschwander S; Bern University of Appl. Sciences, Department of Medical Informatics, Switzerland.
  • Romao P; Bern University of Appl. Sciences, Department of Medical Informatics, Switzerland.
  • Holm J; Bern University of Appl. Sciences, Department of Medical Informatics, Switzerland.
  • Sariyar M; Bern University of Appl. Sciences, Department of Medical Informatics, Switzerland.
Stud Health Technol Inform ; 289: 166-169, 2022 Jan 14.
Article em En | MEDLINE | ID: mdl-35062118
ABSTRACT
Ontologies promise more benefits than terminologies in terms of data annotation and computer-assisted reasoning, by defining a hierarchy of terms and their relations within a domain. Here, we present central insights related to the development of an ontology for documenting events during interoperative neuromonitoring (IOM), for which we used the Basic Formal Ontology (BFO) as an upper-level ontology. This work has the following two goals to describe the development of the IOM ontology and to guide the practice with respect to documenting of biomedical events, as available ontologies pose difficulties on certain issues. We address the following issues (i) differentiate between the sets documentation, identification, continuant and explanation, understanding, occurrent as we had problems in applying the available ontology of adverse events, (ii) covering diseases and injuries in a consistent way, and (iii) deciding on which level to define relations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Documentação Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Documentação Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suíça