Big data analytics for enhanced clinical decision support systems during spaceflight

Prysyazhnyuk, A; Baevsky, R; Berseneva, A; Chernikova, A; Luchitskaya, E; Rusanov, V; Mcgregor, C

Big data analytics for enhanced clinical decision support systems during spaceflight

Prysyazhnyuk, A Baevsky, R Berseneva, A Chernikova, A Luchitskaya, E Rusanov, V Mcgregor, C

Permalink

Publication Type:: Conference Proceeding
Citation:: 2017 IEEE Life Sciences Conference, LSC 2017, 2018, 2018-January pp. 296 - 299
Issue Date:: 2018-01-23

Closed Access

	Filename	Description	Size
	08268201.pdf	Published version	1.23 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Prysyazhnyuk, A	en_US
dc.contributor.author	Baevsky, R	en_US
dc.contributor.author	Berseneva, A	en_US
dc.contributor.author	Chernikova, A	en_US
dc.contributor.author	Luchitskaya, E	en_US
dc.contributor.author	Rusanov, V	en_US
dc.contributor.author	Mcgregor, C https://orcid.org/0000-0002-0491-4403	en_US
dc.date.issued	2018-01-23	en_US
dc.identifier.citation	2017 IEEE Life Sciences Conference, LSC 2017, 2018, 2018-January pp. 296 - 299	en_US
dc.identifier.isbn	9781538610305	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127187
dc.description.abstract	© 2017 IEEE. Recent advancements in the field of space medicine and technology have extended the boundaries of space travel, presenting humankind with the ability to explore undiscovered habitats. As humans embark on long range missions, adaptation mechanisms will be put to the test, challenging provision of medical care in space. To date, a vast amount of knowledge has been accumulated through a series of experiments, both in terrestrial simulation environments and space missions on the ISS. As a result, functional health state algorithm has been developed and validated by IBMP, to identify transitional states between health and disease. Significant limitations on provision of medical care in space are imposed due to retrospective data processing and analysis techniques. Some of these limitations can be addressed by the proposed instantiation of the functional state algorithm within the Online Analytics component of the Artemis platform, to enhance clinical decision support systems during spaceflight.	en_US
dc.relation.ispartof	2017 IEEE Life Sciences Conference, LSC 2017	en_US
dc.relation.isbasedon	10.1109/LSC.2017.8268201	en_US
dc.title	Big data analytics for enhanced clinical decision support systems during spaceflight	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-January	en_US
utslib.for	0804 Data Format	en_US
pubs.embargo.period	Not known	en_US
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/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2018-January	en_US

Abstract:

© 2017 IEEE. Recent advancements in the field of space medicine and technology have extended the boundaries of space travel, presenting humankind with the ability to explore undiscovered habitats. As humans embark on long range missions, adaptation mechanisms will be put to the test, challenging provision of medical care in space. To date, a vast amount of knowledge has been accumulated through a series of experiments, both in terrestrial simulation environments and space missions on the ISS. As a result, functional health state algorithm has been developed and validated by IBMP, to identify transitional states between health and disease. Significant limitations on provision of medical care in space are imposed due to retrospective data processing and analysis techniques. Some of these limitations can be addressed by the proposed instantiation of the functional state algorithm within the Online Analytics component of the Artemis platform, to enhance clinical decision support systems during spaceflight.

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

http://hdl.handle.net/10453/127187