Ontology Based Clinical Query Extraction

Knowledge about human anatomy, radiology and diseases that is essential for medical images can be acquired from medical ontology terms and relations. These can then be analyzed using domain corpora to observe statistically most relevant term-relation-term patterns. We argue that such patterns are th...

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Detalles Bibliográficos
Autores principales: Wennerberg, Pinar, Möller, Manuel, Buitelaar, Paul, Zillner, Sonja
Formato: Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2009
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041560/
https://www.ncbi.nlm.nih.gov/pubmed/21347186
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author Wennerberg, Pinar
Möller, Manuel
Buitelaar, Paul
Zillner, Sonja
author_facet Wennerberg, Pinar
Möller, Manuel
Buitelaar, Paul
Zillner, Sonja
author_sort Wennerberg, Pinar
collection PubMed
description Knowledge about human anatomy, radiology and diseases that is essential for medical images can be acquired from medical ontology terms and relations. These can then be analyzed using domain corpora to observe statistically most relevant term-relation-term patterns. We argue that such patterns are the basis for more complex clinical search queries and describe our approach for deriving them. These patterns can then be used to support the knowledge elicitation process between the domain expert and the knowledge engineer by providing a common vocabulary for the communication.
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spelling pubmed-30415602011-02-23 Ontology Based Clinical Query Extraction Wennerberg, Pinar Möller, Manuel Buitelaar, Paul Zillner, Sonja Summit on Translat Bioinforma Articles Knowledge about human anatomy, radiology and diseases that is essential for medical images can be acquired from medical ontology terms and relations. These can then be analyzed using domain corpora to observe statistically most relevant term-relation-term patterns. We argue that such patterns are the basis for more complex clinical search queries and describe our approach for deriving them. These patterns can then be used to support the knowledge elicitation process between the domain expert and the knowledge engineer by providing a common vocabulary for the communication. American Medical Informatics Association 2009-03-01 /pmc/articles/PMC3041560/ /pubmed/21347186 Text en ©2009 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
spellingShingle Articles
Wennerberg, Pinar
Möller, Manuel
Buitelaar, Paul
Zillner, Sonja
Ontology Based Clinical Query Extraction
title Ontology Based Clinical Query Extraction
title_full Ontology Based Clinical Query Extraction
title_fullStr Ontology Based Clinical Query Extraction
title_full_unstemmed Ontology Based Clinical Query Extraction
title_short Ontology Based Clinical Query Extraction
title_sort ontology based clinical query extraction
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041560/
https://www.ncbi.nlm.nih.gov/pubmed/21347186
work_keys_str_mv AT wennerbergpinar ontologybasedclinicalqueryextraction
AT mollermanuel ontologybasedclinicalqueryextraction
AT buitelaarpaul ontologybasedclinicalqueryextraction
AT zillnersonja ontologybasedclinicalqueryextraction

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