Health Analytics as a Service with Artemis Cloud: Service Availability.

McGregor, C; Inibhunu, C; Glass, J; Doyle, I; Gates, A; Madill, J; Pugh, JE

Health Analytics as a Service with Artemis Cloud: Service Availability.

McGregor, C

Inibhunu, C Glass, J Doyle, I Gates, A Madill, J Pugh, JE

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2020, 2020, pp. 5644-5648
Issue Date:: 2020-07

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Field	Value	Language
dc.contributor.author	McGregor, C https://orcid.org/0000-0002-0491-4403
dc.contributor.author	Inibhunu, C
dc.contributor.author	Glass, J
dc.contributor.author	Doyle, I
dc.contributor.author	Gates, A
dc.contributor.author	Madill, J
dc.contributor.author	Pugh, JE
dc.date	2020-07-20
dc.date.accessioned	2021-01-09T21:07:24Z
dc.date.available	2021-01-09T21:07:24Z
dc.date.issued	2020-07
dc.identifier.citation	Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2020, 2020, pp. 5644-5648
dc.identifier.isbn	9781728119908
dc.identifier.issn	2375-7477
dc.identifier.issn	2694-0604
dc.identifier.uri	http://hdl.handle.net/10453/145235
dc.description.abstract	Critical care units internationally contain medical devices that generate Big Data in the form of high speed physiological data streams. Great opportunities exist for systemic and reliable approaches for the analysis of high speed physiological data for clinical decision support. This paper presents the instantiation of a Big Data analytics based Health Analytics as-a-Service model. The availability results of the deployment of two instances of Artemis Cloud to support two neonatal ICUs (NICUs) in Ontario Canada are presented.
dc.format	Print
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
dc.relation.ispartof	2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society
dc.relation.isbasedon	10.1109/embc44109.2020.9176507
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.mesh	Decision Support Systems, Clinical
dc.subject.mesh	Ontario
dc.subject.mesh	Data Science
dc.subject.mesh	Big Data
dc.subject.mesh	Big Data
dc.subject.mesh	Data Science
dc.subject.mesh	Decision Support Systems, Clinical
dc.subject.mesh	Ontario
dc.title	Health Analytics as a Service with Artemis Cloud: Service Availability.
dc.type	Conference Proceeding
utslib.citation.volume	2020
utslib.location.activity	United States
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2022-08-27T00:00:00+1000Z
dc.date.updated	2021-01-09T21:07:04Z
pubs.finish-date	2020-07-24
pubs.publication-status	Published
pubs.start-date	2020-07-20
pubs.volume	2020

Abstract:

Critical care units internationally contain medical devices that generate Big Data in the form of high speed physiological data streams. Great opportunities exist for systemic and reliable approaches for the analysis of high speed physiological data for clinical decision support. This paper presents the instantiation of a Big Data analytics based Health Analytics as-a-Service model. The availability results of the deployment of two instances of Artemis Cloud to support two neonatal ICUs (NICUs) in Ontario Canada are presented.

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http://hdl.handle.net/10453/145235