Physical activity in the era of mHealth big data: considerations on accuracy and bias

Simple item page
dc.contributor.authorAdamakis, Manolis
dc.date.accessioned2019-10-25T11:19:04Z
dc.date.available2019-10-25T11:19:04Z
dc.date.issued2019-02
dc.description.abstractRecently smartphones have been considered a powerful tool with which to study large-scale population health on a global scale. Landmark Nature publications highlight the global uptake of mobile technology and the staggering potential for big data to promote large observational studies with big datasets from electronic health records. However, these data have to be generated through unbiased, accurate and validated measurement techniques. This paper discusses in detail some of the inconsistencies in smartphone health apps’ data collection and the issues arising from the increasing availability of low-quality health data. These threats to valid inference from observational studies using big data remain a great challenge to overcome and future research should focus on the development and validation of more accurate algorithms for health-related smartphone apps.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationAdamakis, M. (2019) ‘Physical activity in the era of mHealth big data: Considerations on accuracy and bias’, SSP Journal of Sport Sciences and Medicine, 2, pp. 6-10.en
dc.identifier.endpage10en
dc.identifier.issn2003-1521
dc.identifier.journaltitleSSP Journal of Sport Sciences and Medicineen
dc.identifier.startpage6en
dc.identifier.urihttps://hdl.handle.net/10468/8861
dc.identifier.volume2en
dc.language.isoenen
dc.publisherSwedish Scientific Publicationsen
dc.relation.urihttp://swedishscientificpublications.com/sspjssm/volume-2-february-2019/
dc.rights© 2019 SSPJSSM is published by "Swedish Scientific Publications" SSP. Publication Company. All rights reserveden
dc.subjectSmartphonesen
dc.subjectPhysical activityen
dc.subjectLow quality health dataen
dc.subjectHealth dataen
dc.subjectPA monitoringen
dc.subjectHealth researchen
dc.subjectmHealthen
dc.subjectBig dataen
dc.titlePhysical activity in the era of mHealth big data: considerations on accuracy and biasen
dc.typeArticle (peer-reviewed)en
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
11222_Adamakis Sspjssm-volume2-2019-6-10.pdf
Size:
316.11 KB
Format:
Adobe Portable Document Format
Description:
Published version
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Education - Journal Articles