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Data Visualisation in Midwifery: The Challenge of Seeing what Datasets Hide.

dc.contributor.authorDaley, BJen_US
dc.contributor.authorKyrimi, Een_US
dc.contributor.authorDube, Ken_US
dc.contributor.authorFenton, NEen_US
dc.contributor.authorHitman, GAen_US
dc.contributor.authorMcLachlan, Sen_US
dc.date.accessioned2020-07-10T09:42:35Z
dc.date.issued2020-06-16en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/65604
dc.description.abstractInformation visualisation is transforming data into visual representations to convey information hidden within large datasets. Information visualisation in medicine is underdeveloped. In midwifery, the impact of different graphs on clinicians' and patients' understanding is not well understood. We investigate this gap and its potential consequences.en_US
dc.format.extent1239 - 1240en_US
dc.languageengen_US
dc.relation.ispartofStud Health Technol Informen_US
dc.rightsThis article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectdata visualisationen_US
dc.subjectmidwiferyen_US
dc.subjectFemaleen_US
dc.subjectHumansen_US
dc.subjectMidwiferyen_US
dc.subjectPregnancyen_US
dc.titleData Visualisation in Midwifery: The Challenge of Seeing what Datasets Hide.en_US
dc.typeArticle
dc.rights.holder© 2020 European Federation for Medical Informatics (EFMI) and IOS Press.
dc.identifier.doi10.3233/SHTI200381en_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/32570598en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume270en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderPAMBAYESIAN: PAtient Managed decision-support using Bayesian networks::Engineering and Physical Sciences Research Councilen_US


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This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
Except where otherwise noted, this item's license is described as This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).