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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/11962
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dc.contributor.authorPoon, Josiahen
dc.contributor.authorPoon, Simonen
dc.contributor.authorGao, Junbinen
dc.contributor.authorYin, Daweien
dc.contributor.authorChan, Kelvinen
dc.contributor.authorLoy, Clementen
dc.contributor.authorZhou, Xuezhongen
dc.contributor.authorZhang, Runshunen
dc.contributor.authorLiu, Baoyanen
dc.contributor.authorKwan, Paul Hen
dc.contributor.authorSze, Danielen
local.source.editorEditor(s): Diego di Bernardo, et alen
dc.date.accessioned2013-01-31T16:10:00Z-
dc.date.issued2010-
dc.identifier.citationProceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW), p. 722-726en
dc.identifier.isbn9781424483037en
dc.identifier.isbn9781424483044en
dc.identifier.isbn9781424483020en
dc.identifier.urihttps://hdl.handle.net/1959.11/11962-
dc.description.abstractThe efficacy of a TCM medication derives from the herb-herb interaction in a formula. Although there are standard formulae, a practitioner will only pick a subset of formulas as templates and personalize them for the patients. It is not easy to determine the true interacting herbs to contribute to the effectiveness of a treatment. Association rule mining is an approach to find the co-occurrence of some items, however, it is not goal-oriented, and the generated results are very sensitive to the given parameters, i.e. support count. The aim of this paper is to introduce a new framework to systematically generate a set of combinations of interacting herbs that leads to good outcome. This algorithm was tested with a dataset of treatment of insomnia to understand the effectiveness of combination of herbs. Interesting and insightful results were noted and discussed.en
dc.languageenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartofProceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)en
dc.titleStudying Herb-Herb Interaction for Insomnia through the theory of Complementaritiesen
dc.typeConference Publicationen
dc.relation.conferenceBIBM 2010: IEEE International Conference on Bioinformatics and Biomedicineen
dc.identifier.doi10.1109/BIBMW.2010.5703897en
dc.subject.keywordsHealth Information Systems (incl Surveillance)en
dc.subject.keywordsPattern Recognition and Data Miningen
dc.subject.keywordsDecision Support and Group Support Systemsen
local.contributor.firstnameJosiahen
local.contributor.firstnameSimonen
local.contributor.firstnameJunbinen
local.contributor.firstnameDaweien
local.contributor.firstnameKelvinen
local.contributor.firstnameClementen
local.contributor.firstnameXuezhongen
local.contributor.firstnameRunshunen
local.contributor.firstnameBaoyanen
local.contributor.firstnamePaul Hen
local.contributor.firstnameDanielen
local.subject.for2008080109 Pattern Recognition and Data Miningen
local.subject.for2008111711 Health Information Systems (incl Surveillance)en
local.subject.for2008080605 Decision Support and Group Support Systemsen
local.subject.seo2008899999 Information and Communication Services not elsewhere classifieden
local.profile.schoolComputer Scienceen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailjgao@une.edu.auen
local.profile.emailwkwan2@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20110324-22207en
local.date.conference18th - 21st December, 2010en
local.conference.placeHong Kong, Chinaen
local.publisher.placeLos Alamitos, United States of Americaen
local.format.startpage722en
local.format.endpage726en
local.peerreviewedYesen
local.contributor.lastnamePoonen
local.contributor.lastnamePoonen
local.contributor.lastnameGaoen
local.contributor.lastnameYinen
local.contributor.lastnameChanen
local.contributor.lastnameLoyen
local.contributor.lastnameZhouen
local.contributor.lastnameZhangen
local.contributor.lastnameLiuen
local.contributor.lastnameKwanen
local.contributor.lastnameSzeen
dc.identifier.staffune-id:jgaoen
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:12165en
dc.identifier.academiclevelAcademicen
local.title.maintitleStudying Herb-Herb Interaction for Insomnia through the theory of Complementaritiesen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.relation.urlhttp://www.math.hkbu.edu.hk/BIBM2010/en
local.conference.detailsBIBM 2010: IEEE International Conference on Bioinformatics and Biomedicine, Hong Kong, China, 18th - 21st December, 2010en
local.search.authorPoon, Josiahen
local.search.authorPoon, Simonen
local.search.authorGao, Junbinen
local.search.authorYin, Daweien
local.search.authorChan, Kelvinen
local.search.authorLoy, Clementen
local.search.authorZhou, Xuezhongen
local.search.authorZhang, Runshunen
local.search.authorLiu, Baoyanen
local.search.authorKwan, Paul Hen
local.search.authorSze, Danielen
local.uneassociationUnknownen
local.year.published2010en
local.date.start2010-12-18-
local.date.end2010-12-21-
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