Analysing clinical guidelines' contents with deontic and rhetorical structures

Hdl Handle:
http://hdl.handle.net/10149/91086
Title:
Analysing clinical guidelines' contents with deontic and rhetorical structures
Book Title:
Artificial intelligence in medicine
Authors:
Georg, G. (Gersende); Hernault, H. (Hugo); Cavazza, M. O. (Marc); Prendinger, H. (Helmut); Ishizuka, M. (Mitsuru)
Editors:
Combi, C. (Carlo); Shahar, Y. (Yuval); Abu-Hanna, A. (Ameen)
Affiliation:
University of Teesside. School of Computing.
Citation:
Georg, G. et al. (2009) 'Analysing clinical guidelines' contents with deontic and rhetorical structures', 12th conference on artificial intelligence in medicine, Verona, Italy, July 18 - 22, in Combi, C., Shahar, Y. and Abu-Hanna, A. (eds) Artificial intelligence in medicine, Lecture notes in computer science. Heidelberg: Springer Berlin, pp.86-90.
Publisher:
Springer
Conference:
12th conference on artificial intelligence in medicine, AIME 2009, Verona, Italy, July 18 - 22, 2009.
Issue Date:
2009
URI:
http://hdl.handle.net/10149/91086
DOI:
10.1007/978-3-642-02976-9_11
Abstract:
The computerisation of clinical guidelines can greatly benefit from the automatic analysis of their content using Natural Language Processing techniques. Because of the central role played by specific deontic structures, known as recommendations, it is possible to tune the processing step towards the recognition of such expressions, which can be used to structure key sections of the document. In this paper, we extend previous work on the automatic identification of guidelines' recommendations, by showing how Rhetorical Structure Theory can be used to characterise the actual contents of elementary recommendations. The emphasis on causality and time in RST proves a powerful complement to the recognition of deontic structures and supports the identification of relevant knowledge, in particular for the identification of conditional structures, which play an important role for the subsequent analysis of recommendations.
Type:
Meetings and Proceedings; Book Chapter
Language:
en
Keywords:
clinical guidelines; natural language processing; rhetorical structure theory; deontic
Series/Report no.:
Lecture notes in computer science; 5651
ISSN:
0302-9743; 1611-3349
ISBN:
9783642029752
Citation Count:
0 [Scopus, 03/02/2010]

Full metadata record

DC FieldValue Language
dc.contributor.authorGeorg, G. (Gersende)en
dc.contributor.authorHernault, H. (Hugo)en
dc.contributor.authorCavazza, M. O. (Marc)en
dc.contributor.authorPrendinger, H. (Helmut)en
dc.contributor.authorIshizuka, M. (Mitsuru)en
dc.contributor.editorCombi, C. (Carlo)en
dc.contributor.editorShahar, Y. (Yuval)en
dc.contributor.editorAbu-Hanna, A. (Ameen)en
dc.date.accessioned2010-02-03T16:23:22Z-
dc.date.available2010-02-03T16:23:22Z-
dc.date.issued2009-
dc.identifier.isbn9783642029752-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.doi10.1007/978-3-642-02976-9_11-
dc.identifier.urihttp://hdl.handle.net/10149/91086-
dc.description.abstractThe computerisation of clinical guidelines can greatly benefit from the automatic analysis of their content using Natural Language Processing techniques. Because of the central role played by specific deontic structures, known as recommendations, it is possible to tune the processing step towards the recognition of such expressions, which can be used to structure key sections of the document. In this paper, we extend previous work on the automatic identification of guidelines' recommendations, by showing how Rhetorical Structure Theory can be used to characterise the actual contents of elementary recommendations. The emphasis on causality and time in RST proves a powerful complement to the recognition of deontic structures and supports the identification of relevant knowledge, in particular for the identification of conditional structures, which play an important role for the subsequent analysis of recommendations.en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofseriesLecture notes in computer scienceen
dc.relation.ispartofseries5651en
dc.subjectclinical guidelinesen
dc.subjectnatural language processingen
dc.subjectrhetorical structure theoryen
dc.subjectdeonticen
dc.titleAnalysing clinical guidelines' contents with deontic and rhetorical structuresen
dc.typeMeetings and Proceedingsen
dc.typeBook Chapteren
dc.contributor.departmentUniversity of Teesside. School of Computing.en
dc.title.bookArtificial intelligence in medicineen
dc.identifier.conference12th conference on artificial intelligence in medicine, AIME 2009, Verona, Italy, July 18 - 22, 2009.en
ref.citationcount0 [Scopus, 03/02/2010]en
or.citation.harvardGeorg, G. et al. (2009) 'Analysing clinical guidelines' contents with deontic and rhetorical structures', 12th conference on artificial intelligence in medicine, Verona, Italy, July 18 - 22, in Combi, C., Shahar, Y. and Abu-Hanna, A. (eds) Artificial intelligence in medicine, Lecture notes in computer science. Heidelberg: Springer Berlin, pp.86-90.-
prism.startingPage86-
prism.endingPage90-
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