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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/9543
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dc.contributor.authorPoon, Simonen
dc.contributor.authorPoon, Josiahen
dc.contributor.authorSze, Danielen
dc.contributor.authorMcGrane, Martinen
dc.contributor.authorZhou, Xuezhongen
dc.contributor.authorKwan, Paul Hen
dc.contributor.authorZhang, Runshunen
dc.contributor.authorLiu, Baoyanen
dc.contributor.authorGao, Junbinen
dc.contributor.authorLoy, Clementen
dc.contributor.authorChan, Kelvinen
dc.date.accessioned2012-02-22T17:46:00Z-
dc.date.issued2011-
dc.identifier.citationInternational Journal of Data Mining and Bioinformatics, 5(4), p. 353-368en
dc.identifier.issn1748-5681en
dc.identifier.issn1748-5673en
dc.identifier.urihttps://hdl.handle.net/1959.11/9543-
dc.description.abstractThe efficacy of a traditional Chinese medicine medication derives from the complex interactions of herbs or Chinese Materia Medica in a formula. The aim of this paper is to propose a new approach to systematically generate combinations of interacting herbs that might lead to good outcome. Our approach was tested on a data set of prescriptions for diabetic patients to verify the effectiveness of detected combinations of herbs. This approach is able to detect effective higher orders of herb-herb interactions with statistical validation. We present an exploratory analysis of clinical records using a pattern mining approach called Interaction Rules Mining.en
dc.languageenen
dc.publisherInderscience Publishersen
dc.relation.ispartofInternational Journal of Data Mining and Bioinformaticsen
dc.titleA novel approach in discovering significant interactions from TCM patient prescription dataen
dc.typeJournal Articleen
dc.identifier.doi10.1504/IJDMB.2011.041553en
dc.subject.keywordsPattern Recognition and Data Miningen
dc.subject.keywordsBiostatisticsen
dc.subject.keywordsTraditional Chinese Medicine and Treatmentsen
local.contributor.firstnameSimonen
local.contributor.firstnameJosiahen
local.contributor.firstnameDanielen
local.contributor.firstnameMartinen
local.contributor.firstnameXuezhongen
local.contributor.firstnamePaul Hen
local.contributor.firstnameRunshunen
local.contributor.firstnameBaoyanen
local.contributor.firstnameJunbinen
local.contributor.firstnameClementen
local.contributor.firstnameKelvinen
local.subject.for2008010402 Biostatisticsen
local.subject.for2008080109 Pattern Recognition and Data Miningen
local.subject.for2008110404 Traditional Chinese Medicine and Treatmentsen
local.subject.seo2008920203 Diagnostic Methodsen
local.subject.seo2008890201 Application Software Packages (excl. Computer Games)en
local.subject.seo2008970111 Expanding Knowledge in the Medical and Health Sciencesen
local.subject.seo2008920104 Diabetesen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailsimon.poon@sydney.edu.auen
local.profile.emailjosiah.poon@sydney.edu.auen
local.profile.emailDaniel.sz@polyu.edu.hken
local.profile.emailmmcgrane@it.usyd.edu.auen
local.profile.emailxzzhou@bjtu.edu.cnen
local.profile.emailwkwan2@une.edu.auen
local.profile.emailrunshunzhang@gmail.comen
local.profile.emailcectcm@gmail.comen
local.profile.emailjbgao@csu.edu.auen
local.profile.emailclement.loy@sydney.edu.auen
local.profile.emailkelvin.chan@sydney.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20111128-165745en
local.publisher.placeGeneva, Switzerlanden
local.format.startpage353en
local.format.endpage368en
local.peerreviewedYesen
local.identifier.volume5en
local.identifier.issue4en
local.contributor.lastnamePoonen
local.contributor.lastnamePoonen
local.contributor.lastnameSzeen
local.contributor.lastnameMcGraneen
local.contributor.lastnameZhouen
local.contributor.lastnameKwanen
local.contributor.lastnameZhangen
local.contributor.lastnameLiuen
local.contributor.lastnameGaoen
local.contributor.lastnameLoyen
local.contributor.lastnameChanen
dc.identifier.staffune-id:wkwan2en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:9734en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleA novel approach in discovering significant interactions from TCM patient prescription dataen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorPoon, Simonen
local.search.authorPoon, Josiahen
local.search.authorSze, Danielen
local.search.authorMcGrane, Martinen
local.search.authorZhou, Xuezhongen
local.search.authorKwan, Paul Hen
local.search.authorZhang, Runshunen
local.search.authorLiu, Baoyanen
local.search.authorGao, Junbinen
local.search.authorLoy, Clementen
local.search.authorChan, Kelvinen
local.uneassociationUnknownen
local.year.published2011en
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