A scalable data repository for recording self-managed longitudinal health data of digital patients

2.50
Hdl Handle:
http://hdl.handle.net/10547/337003
Title:
A scalable data repository for recording self-managed longitudinal health data of digital patients
Authors:
Zhao, Xia; Zhao, Youbing; Ersotelos, Nikolaos; Fan, Dina; Liu, Enjie; Clapworthy, Gordon J.; Dong, Feng
Abstract:
This paper presents the proof-of-concept design of the data repository for 4D digital avatars in the MyHealthAvatar project. Taking account of the privacy and legal issues of patient health information, the research generates a set of synthetic data based on publicly available survey data. At the prototype stage, these synthetic data are used in the scenarios of data storage and management. The paper discusses the early proof-of-concept design of the technical stack which enables the storage and query of large scale patients' health data and empowers the future data mining and analysis for health care support. It provides the first stage implementation and the use of it for data analytics.
Affiliation:
University of Bedfordshire
Citation:
Zhao, X., Zhao, Y., Ersotelos, N., Fan, D., Liu, E., Clapworthy, G.J., Dong, F., (2013) "A scalable data repository for recording self-managed longitudinal health data of digital patients," Bioinformatics and Bioengineering (BIBE), IEEE 13th International Conference on, Chania, Greece, November 10-13.
Issue Date:
Nov-2013
URI:
http://hdl.handle.net/10547/337003
DOI:
10.1109/BIBE.2013.6701571
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6701571
Type:
Conference papers, meetings and proceedings
Language:
en
Sponsors:
This work is supported in part by the European Commission under Grant FP7-ICT-9-5.2-VPH-600929 within the MyHealthAvatar project.
Appears in Collections:
Centre for Computer Graphics and Visualisation (CCGV)

Full metadata record

DC FieldValue Language
dc.contributor.authorZhao, Xiaen
dc.contributor.authorZhao, Youbingen
dc.contributor.authorErsotelos, Nikolaosen
dc.contributor.authorFan, Dinaen
dc.contributor.authorLiu, Enjieen
dc.contributor.authorClapworthy, Gordon J.en
dc.contributor.authorDong, Fengen
dc.date.accessioned2014-12-10T10:42:15Z-
dc.date.available2014-12-10T10:42:15Z-
dc.date.issued2013-11-
dc.identifier.citationZhao, X., Zhao, Y., Ersotelos, N., Fan, D., Liu, E., Clapworthy, G.J., Dong, F., (2013) "A scalable data repository for recording self-managed longitudinal health data of digital patients," Bioinformatics and Bioengineering (BIBE), IEEE 13th International Conference on, Chania, Greece, November 10-13.en
dc.identifier.doi10.1109/BIBE.2013.6701571-
dc.identifier.urihttp://hdl.handle.net/10547/337003-
dc.description.abstractThis paper presents the proof-of-concept design of the data repository for 4D digital avatars in the MyHealthAvatar project. Taking account of the privacy and legal issues of patient health information, the research generates a set of synthetic data based on publicly available survey data. At the prototype stage, these synthetic data are used in the scenarios of data storage and management. The paper discusses the early proof-of-concept design of the technical stack which enables the storage and query of large scale patients' health data and empowers the future data mining and analysis for health care support. It provides the first stage implementation and the use of it for data analytics.en
dc.description.sponsorshipThis work is supported in part by the European Commission under Grant FP7-ICT-9-5.2-VPH-600929 within the MyHealthAvatar project.en
dc.language.isoenen
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6701571en
dc.subjectavatarsen
dc.subjectdata privacyen
dc.subjectdatabase management systemsen
dc.subjectmedical information systemsen
dc.subjectquery processingen
dc.subjectstorage managementen
dc.subjectdata repositoriesen
dc.titleA scalable data repository for recording self-managed longitudinal health data of digital patientsen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshireen
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