CoRAD: Visual Analytics for Cohort Analysis

Kamaleswaran, R; Collins, C; James, A; McGregor, C

CoRAD: Visual Analytics for Cohort Analysis

Kamaleswaran, R Collins, C James, A McGregor, C

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings - 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016, 2016, pp. 517-526
Issue Date:: 2016-12-06

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Field	Value	Language
dc.contributor.author	Kamaleswaran, R
dc.contributor.author	Collins, C
dc.contributor.author	James, A
dc.contributor.author	McGregor, C https://orcid.org/0000-0002-0491-4403
dc.date	2016-10-04
dc.date.accessioned	2021-03-12T16:42:37Z
dc.date.available	2021-03-12T16:42:37Z
dc.date.issued	2016-12-06
dc.identifier.citation	Proceedings - 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016, 2016, pp. 517-526
dc.identifier.isbn	9781509061174
dc.identifier.uri	http://hdl.handle.net/10453/147083
dc.description.abstract	© 2016 IEEE. In this paper, we introduce a novel dynamic visual analytic tool called the Cohort Relative Aligned Dashboard (CoRAD). We present the design components of CoRAD, along with alternatives that lead to the final instantiation. We also present an evaluation involving expert clinical researchers, comparing CoRAD against an existing analytics method. The results of the evaluation show CoRAD to be more usable and useful for the target user. The relative alignment of physiologic data to clinical events were found to be a highlight of the tool. Clinical experts also found the interactive selection and filter functions to be useful in reducing information overload. Moreover, CoRAD was also found to allow clinical researchers to generate alternative hypotheses and test them in vivo.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	Proceedings - 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016
dc.relation.ispartof	IEEE International Conference on Healthcare Informatics (ICHI)
dc.relation.isbasedon	10.1109/ICHI.2016.93
dc.rights	© 2016 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/closedAccess
dc.title	CoRAD: Visual Analytics for Cohort Analysis
dc.type	Conference Proceeding
utslib.location.activity	Chicago, IL
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	*
dc.date.updated	2021-03-12T16:42:36Z
pubs.finish-date	2016-10-07
pubs.publication-status	Published
pubs.start-date	2016-10-04

Abstract:

© 2016 IEEE. In this paper, we introduce a novel dynamic visual analytic tool called the Cohort Relative Aligned Dashboard (CoRAD). We present the design components of CoRAD, along with alternatives that lead to the final instantiation. We also present an evaluation involving expert clinical researchers, comparing CoRAD against an existing analytics method. The results of the evaluation show CoRAD to be more usable and useful for the target user. The relative alignment of physiologic data to clinical events were found to be a highlight of the tool. Clinical experts also found the interactive selection and filter functions to be useful in reducing information overload. Moreover, CoRAD was also found to allow clinical researchers to generate alternative hypotheses and test them in vivo.

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http://hdl.handle.net/10453/147083