Big data as a new approach in emergency medicine research

Simple item page
dc.contributor.authorWong, Ho Ting
dc.contributor.authorYin, Qian
dc.contributor.authorGuo, Ying Qi
dc.contributor.authorMurray, Kristen
dc.contributor.authorZhou, Dong Hau
dc.contributor.authorSlade, Diana
dc.date.accessioned2022-04-13T01:53:51Z
dc.date.issued2015
dc.date.updated2020-12-20T07:44:57Z
dc.description.abstractBig data is a hot topic in the academic sector, and healthcare researchers are definitely not an exception. This article aims to provide a showcase in emergency medicine research to demonstrate the advantages of conducting such research using big data. Big data is a new and cost-effective research approach, and emergency medicine researchers could benefit from using this approach and by doing so producing high-quality research at a faster pace.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2221-6189en_AU
dc.identifier.urihttp://hdl.handle.net/1885/263020
dc.language.isoen_AUen_AU
dc.publisherElsevieren_AU
dc.rights© 2015 Elsevier B.Ven_AU
dc.sourceJournal of Acute Diseaseen_AU
dc.titleBig data as a new approach in emergency medicine researchen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue3en_AU
local.bibliographicCitation.lastpage179en_AU
local.bibliographicCitation.startpage178en_AU
local.contributor.affiliationWong, Ho Ting, The Chinese University of Hong Kongen_AU
local.contributor.affiliationYin, Qian, Chinese Academy of Sciencesen_AU
local.contributor.affiliationGuo, Ying Qi, The University of Hong Kongen_AU
local.contributor.affiliationMurray, Kristen, University of Technology, Sydneyen_AU
local.contributor.affiliationZhou, Dong Hau, Wuhan Business Universityen_AU
local.contributor.affiliationSlade, Diana, College of Arts and Social Sciences, ANUen_AU
local.contributor.authoruidSlade, Diana, u1010976en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor200401 - Applied Linguistics and Educational Linguisticsen_AU
local.identifier.absseo950202 - Languages and Literacyen_AU
local.identifier.ariespublicationu9803255xPUB1672en_AU
local.identifier.citationvolume4en_AU
local.identifier.doi10.1016/j.joad.2015.04.003en_AU
local.publisher.urlhttps://www.elsevier.com/en-auen_AU
local.type.statusPublished Versionen_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
1-s2.0-S2221618915000268-main.pdf
Size:
227.12 KB
Format:
Adobe Portable Document Format
Description:
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS