Rapid Prediction of Brain Injury Pattern in mTBI by Combining FE Analysis With a Machine-Learning Based Approach

Shim, Vickie B; Holdsworth, Samantha; Champagne, Allen A; Coverdale, Nicole S; Cook, Douglas J; Lee, Tae-Rin; Wang, Alan D; Li, Shaofan; Fernandez, Justin W

dc.contributor.author	Shim, Vickie B
dc.contributor.author	Holdsworth, Samantha
dc.contributor.author	Champagne, Allen A
dc.contributor.author	Coverdale, Nicole S
dc.contributor.author	Cook, Douglas J
dc.contributor.author	Lee, Tae-Rin
dc.contributor.author	Wang, Alan D
dc.contributor.author	Li, Shaofan
dc.contributor.author	Fernandez, Justin W
dc.date.accessioned	2020-12-08T23:05:59Z
dc.date.available	2020-12-08T23:05:59Z
dc.date.issued	2020-1-1
dc.identifier.citation	IEEE Access 8:179457-179465 01 Jan 2020
dc.identifier.issn	2169-3536
dc.identifier.uri	http://hdl.handle.net/2292/53899
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartofseries	IEEE ACCESS
dc.rights	Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri	https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject	Science & Technology
dc.subject	Technology
dc.subject	Computer Science, Information Systems
dc.subject	Engineering, Electrical & Electronic
dc.subject	Telecommunications
dc.subject	Computer Science
dc.subject	Engineering
dc.subject	Brain modeling
dc.subject	Strain
dc.subject	Computational modeling
dc.subject	Head
dc.subject	Magnetic heads
dc.subject	Finite element analysis
dc.subject	Magnetic resonance imaging
dc.subject	Diffusion tensor imaging
dc.subject	finite element analysis
dc.subject	magnetic resonance imaging
dc.subject	mild traumatic brain injury
dc.subject	partial least squares regression
dc.subject	MAXIMUM PRINCIPAL STRAIN
dc.subject	TISSUE
dc.subject	MODEL
dc.subject	IMPLEMENTATION
dc.subject	VALIDATION
dc.subject	IMPACTS
dc.subject	08 Information and Computing Sciences
dc.subject	09 Engineering
dc.subject	10 Technology
dc.title	Rapid Prediction of Brain Injury Pattern in mTBI by Combining FE Analysis With a Machine-Learning Based Approach
dc.type	Journal Article
dc.identifier.doi	10.1109/ACCESS.2020.3026350
pubs.begin-page	179457
pubs.volume	8
dc.date.updated	2020-11-04T07:15:46Z
dc.rights.holder	Copyright: The authors	en
pubs.author-url	http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000577836000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e41486220adb198d0efde5a3b153e7d
pubs.end-page	179465
pubs.publication-status	Published
dc.rights.accessrights	http://purl.org/eprint/accessRights/OpenAccess	en
pubs.subtype	Article
pubs.subtype	Journal
pubs.elements-id	820641