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dc.contributor.authorAmirian, Pen_US
dc.contributor.authorvan Loggerenberg, Fen_US
dc.contributor.authorLang, Ten_US
dc.contributor.authorThomas, Aen_US
dc.contributor.authorPeeling, Ren_US
dc.contributor.authorBasiri, Aen_US
dc.contributor.authorGoodman, SNen_US
dc.date.accessioned2020-08-13T10:29:07Z
dc.date.issued2017-12en_US
dc.identifier.issn1574-1192en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/66253
dc.format.extent470 - 486en_US
dc.relation.ispartofPERVASIVE AND MOBILE COMPUTINGen_US
dc.subjectPoint of careen_US
dc.subjectBig data analyticsen_US
dc.subjectInternet of Thingsen_US
dc.subjectGlobal healthen_US
dc.subjectMachine generated dataen_US
dc.subjectMachine learningen_US
dc.titleUsing big data analytics to extract disease surveillance information from point of care diagnostic machinesen_US
dc.typeArticle
dc.identifier.doi10.1016/j.pmcj.2017.06.013en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000415725100028&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume42en_US


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