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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/99731
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dc.contributor.authorChen, L.-
dc.contributor.authorLi, X.-
dc.contributor.authorYang, Y.-
dc.contributor.authorKurniawati, H.-
dc.contributor.authorSheng, Q.-
dc.contributor.authorHu, H.-
dc.contributor.authorHuang, N.-
dc.date.issued2016-
dc.identifier.citationDecision Support Systems, 2016; 81:54-65-
dc.identifier.issn0167-9236-
dc.identifier.issn1873-5797-
dc.identifier.urihttp://hdl.handle.net/2440/99731-
dc.descriptionAvailable online 6 November 2015-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityLing Chen, Xue Li, Yi Yang, Hanna Kurniawati, Quan Z. Sheng, Hsiao-Yun Hu, Nicole Huang-
dc.language.isoen-
dc.publisherElsevier B.V.-
dc.rights© 2015 Elsevier B.V. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.dss.2015.10.008-
dc.subjectPersonal health index; Geriatric medical examination; Label uncertainty; Data mining; Feature extraction-
dc.titlePersonal health indexing based on medical examinations: a data mining approach-
dc.typeJournal article-
dc.identifier.doi10.1016/j.dss.2015.10.008-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP140100104-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest 7
Computer Science publications

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