Decision Support and Knowledge Management in Oncology using Hierarchical Classification
Identifieur interne : 001B12 ( Hal/Curation ); précédent : 001B11; suivant : 001B13Decision Support and Knowledge Management in Oncology using Hierarchical Classification
Auteurs : Mathieu D'Aquin [France] ; Sébastien Brachais [France] ; Jean Lieber [France] ; Amedeo Napoli [France]Source :
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Abstract
This paper presents the Kasimir research project for the management of decision protocols in oncology. A decision protocol is a kind of decision tree implemented in an object-based representation formalism. A reasoner based on such a formalism and on hierarchical classification is coupled with a knowledge editor. This association provides an assistance for editing and maintenance of protocols, enabling the detection of errors and the comparison between versions of the protocol. In this way, a management of protocols takes fully advantage of the underlying knowledge representation and reasoning tools. This straightforward use of the protocol may be insufficient in some situations. Then, the protocol may have to be adapted for these situations. A study of protocol adaptation is presented. In particular a reasoner based on a combination of hierarchical classification and fuzzy logic is introduced.
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type="end">2011-12-31</date><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-2496" type="direct"><org type="laboratory" xml:id="struct-2496" status="OLD"><orgName>INRIA Lorraine</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/centre-de-recherche-inria/nancy-grand-est</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>fuzzy reasoning</term><term>kasimir</term><term>knowledge editing</term><term>knowledge maintenance</term><term>knowledge representation</term><term>maintenance de connaissances</term><term>medical protocol representation</term><term>raisonnement flou</term><term>représentation de protocoles médicaux</term><term>représentation des connaissances</term><term>édition de connaissances</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper presents the Kasimir research project for the management of decision protocols in oncology. A decision protocol is a kind of decision tree implemented in an object-based representation formalism. A reasoner based on such a formalism and on hierarchical classification is coupled with a knowledge editor. This association provides an assistance for editing and maintenance of protocols, enabling the detection of errors and the comparison between versions of the protocol. In this way, a management of protocols takes fully advantage of the underlying knowledge representation and reasoning tools. This straightforward use of the protocol may be insufficient in some situations. Then, the protocol may have to be adapted for these situations. A study of protocol adaptation is presented. In particular a reasoner based on a combination of hierarchical classification and fuzzy logic is introduced.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Decision Support and Knowledge Management in Oncology using Hierarchical Classification</title><author role="aut"><persName><forename type="first">Mathieu</forename><surname>D'Aquin</surname></persName><email></email><idno type="halauthor">130657</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Sébastien</forename><surname>Brachais</surname></persName><email>sebastien.brachais@loria.fr</email><idno type="halauthor">131020</idno><orgName ref="#struct-300009"></orgName><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Jean</forename><surname>Lieber</surname></persName><email>lieber@loria.fr</email><idno type="halauthor">129881</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Amedeo</forename><surname>Napoli</surname></persName><email></email><idno type="halauthor">122559</idno><orgName ref="#struct-441569"></orgName><affiliation ref="#struct-2358"></affiliation></author><editor role="depositor"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2006-10-19 09:08:20</date><date type="whenModified">2016-05-18 08:57:20</date><date type="whenReleased">2006-10-20 15:32:31</date><date type="whenProduced">2004</date><date type="whenEndEmbargoed">2015-02-10</date><ref type="file" target="https://hal.inria.fr/inria-00107766/document"><date notBefore="2015-02-10"></date></ref><ref type="file" n="1" target="https://hal.inria.fr/inria-00107766/file/A04-R-048.pdf"><date notBefore="2015-02-10"></date></ref></edition><respStmt><resp>contributor</resp><name key="108626"><persName><forename>Publications</forename><surname>Loria</surname></persName><email>publications@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00107766</idno><idno type="halUri">https://hal.inria.fr/inria-00107766</idno><idno type="halBibtex">daquin:inria-00107766</idno><idno type="halRefHtml">Katherina Kaiser and Silvia Miksch and Samson W. Tu. Proceedings of the Symposium on Computerized Guidelines and Protocols - CGP-2004, 2004, Prague, Czech Republic, IOS Press, 101, pp.16--30, 2004, Studies in Health Technology and Informatics</idno><idno type="halRef">Katherina Kaiser and Silvia Miksch and Samson W. Tu. Proceedings of the Symposium on Computerized Guidelines and Protocols - CGP-2004, 2004, Prague, Czech Republic, IOS Press, 101, pp.16--30, 2004, Studies in Health Technology and Informatics</idno></publicationStmt><seriesStmt><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno><idno type="stamp" n="INRIA2">INRIA 2</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno></seriesStmt><notesStmt><note type="commentary">Colloque avec actes et comité de lecture. internationale.</note><note type="audience" n="2">International</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Decision Support and Knowledge Management in Oncology using Hierarchical Classification</title><author role="aut"><persName><forename type="first">Mathieu</forename><surname>D'Aquin</surname></persName><idno type="halAuthorId">130657</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Sébastien</forename><surname>Brachais</surname></persName><email>sebastien.brachais@loria.fr</email><idno type="halAuthorId">131020</idno><orgName ref="#struct-300009"></orgName><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Jean</forename><surname>Lieber</surname></persName><email>lieber@loria.fr</email><idno type="halAuthorId">129881</idno><orgName ref="#struct-364475"></orgName><affiliation ref="#struct-2358"></affiliation></author><author role="aut"><persName><forename type="first">Amedeo</forename><surname>Napoli</surname></persName><idno type="halAuthorId">122559</idno><orgName ref="#struct-441569"></orgName><affiliation ref="#struct-2358"></affiliation></author></analytic><monogr><idno type="localRef">A04-R-048 || daquin04d</idno><meeting><title>Proceedings of the Symposium on Computerized Guidelines and Protocols - CGP-2004</title><date type="start">2004</date><settlement>Prague, Czech Republic</settlement></meeting><respStmt><resp>conferenceOrganizer</resp><name>Silvia Miksch and Samson W. Tu</name></respStmt><editor>Katherina Kaiser and Silvia Miksch and Samson W. Tu</editor><imprint><publisher>IOS Press</publisher><biblScope unit="serie">Studies in Health Technology and Informatics</biblScope><biblScope unit="volume">101</biblScope><biblScope unit="pp">16--30</biblScope><date type="datePub">2004</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="fr">fuzzy reasoning</term><term xml:lang="fr">kasimir</term><term xml:lang="fr">knowledge representation</term><term xml:lang="fr">medical protocol representation</term><term xml:lang="fr">knowledge editing</term><term xml:lang="fr">knowledge maintenance</term><term xml:lang="fr">représentation des connaissances</term><term xml:lang="fr">représentation de protocoles médicaux</term><term xml:lang="fr">édition de connaissances</term><term xml:lang="fr">maintenance de connaissances</term><term xml:lang="fr">raisonnement flou</term></keywords><classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">This paper presents the Kasimir research project for the management of decision protocols in oncology. A decision protocol is a kind of decision tree implemented in an object-based representation formalism. A reasoner based on such a formalism and on hierarchical classification is coupled with a knowledge editor. This association provides an assistance for editing and maintenance of protocols, enabling the detection of errors and the comparison between versions of the protocol. In this way, a management of protocols takes fully advantage of the underlying knowledge representation and reasoning tools. This straightforward use of the protocol may be insufficient in some situations. Then, the protocol may have to be adapted for these situations. A study of protocol adaptation is presented. In particular a reasoner based on a combination of hierarchical classification and fuzzy logic is introduced.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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|clé= Hal:inria-00107766
|texte= Decision Support and Knowledge Management in Oncology using Hierarchical Classification
}}
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