Adaptive K-Local Hyperplane (AKLH) Classifiers on Semantic Spaces to Determine Health Consumer Webpage Metadata

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dc.contributor.author Chen, G
dc.contributor.author Warren, J
dc.contributor.author Yang, T
dc.contributor.author Kecman, V
dc.contributor.editor Seppo Puuronen
dc.date.accessioned 2012-02-02T11:07:32Z
dc.date.issued 2008-01
dc.identifier.citation Proceedings of The 21th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS), 2008, pp. 287 - 289
dc.identifier.isbn 978-0-7695-3165-6
dc.identifier.other E1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/16195
dc.description.abstract In this paper we look at automated classification to determine a metadata attribute related to the 'tone' of a consumer-oriented breast cancer Webpage as medical or supportive. We use a semantic space model called hyperspace analog to language (HAL), based on word co-occurrence, to provide features for webpage classification. Adaptive k-local hyperplane (AKLH), an extension of k nearest neighbour, is then applied to training and testing data. We observe 92% classification accuracy on test cases. This combination of methods appears promising for identifying non-trivial metadata attributes of consumer health webpages, with potential use embedded in a search engine or as a meta-data coding support tool.
dc.publisher IEEE
dc.relation.isbasedon 10.1109/CBMS.2008.84
dc.title Adaptive K-Local Hyperplane (AKLH) Classifiers on Semantic Spaces to Determine Health Consumer Webpage Metadata
dc.type Conference Proceeding
dc.parent Proceedings of The 21th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS)
dc.journal.number en_US
dc.publocation Piscataway, USA en_US
dc.publocation Piscataway, USA
dc.publocation Piscataway, USA
dc.identifier.startpage 287 en_US
dc.identifier.endpage 289 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.conference IEEE International Symposium on Computer-Based Medical Systems
dc.conference IEEE International Symposium on Computer-Based Medical Systems
dc.for 0803 Computer Software
dc.personcode 108195
dc.percentage 100 en_US
dc.classification.name Computer Software en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom IEEE International Symposium on Computer-Based Medical Systems en_US
dc.date.activity 20080715 en_US
dc.date.activity 2008-07-15
dc.date.activity 2008-07-15
dc.location.activity Jyvaskyla, Finland en_US
dc.location.activity Jyvaskyla, Finland
dc.location.activity Jyvaskyla, Finland
dc.description.keywords breast cancer , classifier design , consumer health informatics , hyperspace analogue to language en_US
dc.description.keywords breast cancer , classifier design , consumer health informatics , hyperspace analogue to language
dc.description.keywords breast cancer , classifier design , consumer health informatics , hyperspace analogue to language
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology


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