A cloud-based comprehensive health information system framework

Wu, D; Hussain, F; Zhang, G; Lu, J; Unwin, J; Rance, G

A cloud-based comprehensive health information system framework

Wu, D

Hussain, F

Zhang, G

Lu, J

Unwin, J Rance, G

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Publisher:: World Scientific
Publication Type:: Conference Proceeding
Citation:: Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016, 2016, pp. 612-617
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Wu, D https://orcid.org/0000-0002-2499-5159
dc.contributor.author	Hussain, F https://orcid.org/0000-0003-1513-8072
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732
dc.contributor.author	Unwin, J
dc.contributor.author	Rance, G
dc.date	2016-08-24
dc.date.accessioned	2023-01-30T22:11:11Z
dc.date.available	2023-01-30T22:11:11Z
dc.date.issued	2016-01-01
dc.identifier.citation	Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016, 2016, pp. 612-617
dc.identifier.isbn	9789813146969
dc.identifier.uri	http://hdl.handle.net/10453/165623
dc.description.abstract	Big data appearing in health domain bring great opportunities for the health information system development. To effectively utilize the big health data, three challenges: data heterogeneity, huge data volume and high velocity of data generation, and various kinds of user requirements, need to be dealt with. To solve the problem, this paper proposes a cloud-based comprehensive health information system framework, which uses cloud computing techniques to manage and process the big health data, and provides several data analysis and recommendation services to explore the data and extract values from them.
dc.language	en
dc.publisher	World Scientific
dc.relation.ispartof	Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016
dc.relation.ispartof	International FLINS Conference
dc.relation.isbasedon	10.1142/9789813146976_0097
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A cloud-based comprehensive health information system framework
dc.type	Conference Proceeding
utslib.location.activity	Roubaix, France
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2023-01-30T22:11:05Z
pubs.finish-date	2016-08-26
pubs.place-of-publication	USA
pubs.publication-status	Published
pubs.start-date	2016-08-24
dc.location	USA

Abstract:

Big data appearing in health domain bring great opportunities for the health information system development. To effectively utilize the big health data, three challenges: data heterogeneity, huge data volume and high velocity of data generation, and various kinds of user requirements, need to be dealt with. To solve the problem, this paper proposes a cloud-based comprehensive health information system framework, which uses cloud computing techniques to manage and process the big health data, and provides several data analysis and recommendation services to explore the data and extract values from them.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/165623