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Healthcare data analytics

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dc.contributor.authorYang, H.
dc.contributor.authorKundakcıoğlu, Ömer Erhun
dc.contributor.authorZeng, D.
dc.contributor.departmentIndustrial Engineering
dc.contributor.ozuauthorKUNDAKCIOĞLU, Ömer Erhun
dc.date.accessioned2016-06-29T13:04:36Z
dc.date.available2016-06-29T13:04:36Z
dc.date.issued2015-11
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractNew advances in Information and Communication Technologies (ICT), Operations Research (OR), Artificial Intelligence (AI), and Data Mining (DM) are transforming how healthcare is delivered and managed around the world. Meanwhile, health applications are generating tremendous amounts of data, posing novel technical challenges concerning data processing, knowledge management, analytics, medical decision making, and health policy making, among others.
dc.identifier.doi10.1007/s10257-015-0297-0
dc.identifier.endpage597
dc.identifier.issn1617-9854
dc.identifier.issue4
dc.identifier.scopus2-s2.0-84949097805
dc.identifier.startpage595
dc.identifier.urihttp://hdl.handle.net/10679/4143
dc.identifier.urihttps://doi.org/10.1007/s10257-015-0297-0
dc.identifier.volume13
dc.identifier.wos000366118100001
dc.language.isoengen_US
dc.peerreviewedyes
dc.publicationstatuspublisheden_US
dc.publisherSpringer International Publishing
dc.relation.ispartofInformation Systems and e-Business Management
dc.relation.publicationcategoryInternational Refereed Journal
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.titleHealthcare data analyticsen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isOrgUnitOfPublication5dd73c02-fd2d-43e0-9a23-71bab9ae0b6b
relation.isOrgUnitOfPublication.latestForDiscovery5dd73c02-fd2d-43e0-9a23-71bab9ae0b6b

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