Clinical Decision Support Systems Question and Answering

Detalhes bibliográficos
Autor(a) principal: David José Murteira Mendes
Data de Publicação: 2018
Outros Autores: Irene Pimenta Rodrigues, César Fonseca
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/25050
https://doi.org/10.4018/978-1-5225-4944-4.ch009
Resumo: A question answering system to help clinical practitioners in a cardiovascular healthcare environment to interface clinical decision support systems can be built by using an extended discourse representation structure, CIDERS, and an ontology framework, Ontology for General Clinical Practice. CIDERS is an extension of the well-known DRT (discourse representation theory) structures, intending to go beyond single text representation to embrace the general clinical history of a given patient represented in an ontology. The Ontology for General Clinical Practice improves the currently available state-of-the-art ontologies for medical science and for the cardiovascular specialty. The chapter shows the scientific and philosophical reasons of its present dual structure with a deeply expressive (SHOIN) terminological base (TBox) and a highly computable (EL++) assertions knowledge base (ABox). To be able to use the current reasoning techniques and methodologies, the authors made a thorough inventory of biomedical ontologies currently available in OWL2 format.
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spelling Clinical Decision Support Systems Question and AnsweringClinical DecisionA question answering system to help clinical practitioners in a cardiovascular healthcare environment to interface clinical decision support systems can be built by using an extended discourse representation structure, CIDERS, and an ontology framework, Ontology for General Clinical Practice. CIDERS is an extension of the well-known DRT (discourse representation theory) structures, intending to go beyond single text representation to embrace the general clinical history of a given patient represented in an ontology. The Ontology for General Clinical Practice improves the currently available state-of-the-art ontologies for medical science and for the cardiovascular specialty. The chapter shows the scientific and philosophical reasons of its present dual structure with a deeply expressive (SHOIN) terminological base (TBox) and a highly computable (EL++) assertions knowledge base (ABox). To be able to use the current reasoning techniques and methodologies, the authors made a thorough inventory of biomedical ontologies currently available in OWL2 format.IGI Global2019-02-27T00:41:24Z2019-02-272018-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/25050http://hdl.handle.net/10174/25050https://doi.org/10.4018/978-1-5225-4944-4.ch009porhttps://www.igi-global.com/chapter/clinical-decision-support-systems-question-and-answering/195828ndndcfonseca@uevora.ptDavid José Murteira MendesIrene Pimenta RodriguesCésar Fonsecainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:18:19Zoai:dspace.uevora.pt:10174/25050Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:15:28.035749Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Clinical Decision Support Systems Question and Answering
title Clinical Decision Support Systems Question and Answering
spellingShingle Clinical Decision Support Systems Question and Answering
David José Murteira Mendes
Clinical Decision
title_short Clinical Decision Support Systems Question and Answering
title_full Clinical Decision Support Systems Question and Answering
title_fullStr Clinical Decision Support Systems Question and Answering
title_full_unstemmed Clinical Decision Support Systems Question and Answering
title_sort Clinical Decision Support Systems Question and Answering
author David José Murteira Mendes
author_facet David José Murteira Mendes
Irene Pimenta Rodrigues
César Fonseca
author_role author
author2 Irene Pimenta Rodrigues
César Fonseca
author2_role author
author
dc.contributor.author.fl_str_mv David José Murteira Mendes
Irene Pimenta Rodrigues
César Fonseca
dc.subject.por.fl_str_mv Clinical Decision
topic Clinical Decision
description A question answering system to help clinical practitioners in a cardiovascular healthcare environment to interface clinical decision support systems can be built by using an extended discourse representation structure, CIDERS, and an ontology framework, Ontology for General Clinical Practice. CIDERS is an extension of the well-known DRT (discourse representation theory) structures, intending to go beyond single text representation to embrace the general clinical history of a given patient represented in an ontology. The Ontology for General Clinical Practice improves the currently available state-of-the-art ontologies for medical science and for the cardiovascular specialty. The chapter shows the scientific and philosophical reasons of its present dual structure with a deeply expressive (SHOIN) terminological base (TBox) and a highly computable (EL++) assertions knowledge base (ABox). To be able to use the current reasoning techniques and methodologies, the authors made a thorough inventory of biomedical ontologies currently available in OWL2 format.
publishDate 2018
dc.date.none.fl_str_mv 2018-06-01T00:00:00Z
2019-02-27T00:41:24Z
2019-02-27
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/25050
http://hdl.handle.net/10174/25050
https://doi.org/10.4018/978-1-5225-4944-4.ch009
url http://hdl.handle.net/10174/25050
https://doi.org/10.4018/978-1-5225-4944-4.ch009
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.igi-global.com/chapter/clinical-decision-support-systems-question-and-answering/195828
nd
nd
cfonseca@uevora.pt
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dc.publisher.none.fl_str_mv IGI Global
publisher.none.fl_str_mv IGI Global
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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