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https://hdl.handle.net/1959.11/9543
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Poon, Simon | en |
dc.contributor.author | Poon, Josiah | en |
dc.contributor.author | Sze, Daniel | en |
dc.contributor.author | McGrane, Martin | en |
dc.contributor.author | Zhou, Xuezhong | en |
dc.contributor.author | Kwan, Paul H | en |
dc.contributor.author | Zhang, Runshun | en |
dc.contributor.author | Liu, Baoyan | en |
dc.contributor.author | Gao, Junbin | en |
dc.contributor.author | Loy, Clement | en |
dc.contributor.author | Chan, Kelvin | en |
dc.date.accessioned | 2012-02-22T17:46:00Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | International Journal of Data Mining and Bioinformatics, 5(4), p. 353-368 | en |
dc.identifier.issn | 1748-5681 | en |
dc.identifier.issn | 1748-5673 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/9543 | - |
dc.description.abstract | The 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.language | en | en |
dc.publisher | Inderscience Publishers | en |
dc.relation.ispartof | International Journal of Data Mining and Bioinformatics | en |
dc.title | A novel approach in discovering significant interactions from TCM patient prescription data | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1504/IJDMB.2011.041553 | en |
dc.subject.keywords | Pattern Recognition and Data Mining | en |
dc.subject.keywords | Biostatistics | en |
dc.subject.keywords | Traditional Chinese Medicine and Treatments | en |
local.contributor.firstname | Simon | en |
local.contributor.firstname | Josiah | en |
local.contributor.firstname | Daniel | en |
local.contributor.firstname | Martin | en |
local.contributor.firstname | Xuezhong | en |
local.contributor.firstname | Paul H | en |
local.contributor.firstname | Runshun | en |
local.contributor.firstname | Baoyan | en |
local.contributor.firstname | Junbin | en |
local.contributor.firstname | Clement | en |
local.contributor.firstname | Kelvin | en |
local.subject.for2008 | 010402 Biostatistics | en |
local.subject.for2008 | 080109 Pattern Recognition and Data Mining | en |
local.subject.for2008 | 110404 Traditional Chinese Medicine and Treatments | en |
local.subject.seo2008 | 920203 Diagnostic Methods | en |
local.subject.seo2008 | 890201 Application Software Packages (excl. Computer Games) | en |
local.subject.seo2008 | 970111 Expanding Knowledge in the Medical and Health Sciences | en |
local.subject.seo2008 | 920104 Diabetes | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | simon.poon@sydney.edu.au | en |
local.profile.email | josiah.poon@sydney.edu.au | en |
local.profile.email | Daniel.sz@polyu.edu.hk | en |
local.profile.email | mmcgrane@it.usyd.edu.au | en |
local.profile.email | xzzhou@bjtu.edu.cn | en |
local.profile.email | wkwan2@une.edu.au | en |
local.profile.email | runshunzhang@gmail.com | en |
local.profile.email | cectcm@gmail.com | en |
local.profile.email | jbgao@csu.edu.au | en |
local.profile.email | clement.loy@sydney.edu.au | en |
local.profile.email | kelvin.chan@sydney.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.identifier.epublicationsrecord | une-20111128-165745 | en |
local.publisher.place | Geneva, Switzerland | en |
local.format.startpage | 353 | en |
local.format.endpage | 368 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 5 | en |
local.identifier.issue | 4 | en |
local.contributor.lastname | Poon | en |
local.contributor.lastname | Poon | en |
local.contributor.lastname | Sze | en |
local.contributor.lastname | McGrane | en |
local.contributor.lastname | Zhou | en |
local.contributor.lastname | Kwan | en |
local.contributor.lastname | Zhang | en |
local.contributor.lastname | Liu | en |
local.contributor.lastname | Gao | en |
local.contributor.lastname | Loy | en |
local.contributor.lastname | Chan | en |
dc.identifier.staff | une-id:wkwan2 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:9734 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | A novel approach in discovering significant interactions from TCM patient prescription data | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Poon, Simon | en |
local.search.author | Poon, Josiah | en |
local.search.author | Sze, Daniel | en |
local.search.author | McGrane, Martin | en |
local.search.author | Zhou, Xuezhong | en |
local.search.author | Kwan, Paul H | en |
local.search.author | Zhang, Runshun | en |
local.search.author | Liu, Baoyan | en |
local.search.author | Gao, Junbin | en |
local.search.author | Loy, Clement | en |
local.search.author | Chan, Kelvin | en |
local.uneassociation | Unknown | en |
local.year.published | 2011 | en |
Appears in Collections: | Journal Article |
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