TBIBank: An International Shared Database to Enhance Research, Teaching and Automated Language Analysis for Traumatic Brain Injury Populations.
- Publisher:
- Elsevier
- Publication Type:
- Journal Article
- Citation:
- Arch Phys Med Rehabil, 2023, 104, (5), pp. 824-829
- Issue Date:
- 2023-05
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1-s2.0-S0003999323000278-main.pdf | 980.05 kB | Adobe PDF |
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Elbourn, E | |
dc.contributor.author | MacWhinney, B | |
dc.contributor.author | Fromm, D | |
dc.contributor.author |
Power, E https://orcid.org/0000-0002-2638-0406 |
|
dc.contributor.author | Steel, J | |
dc.contributor.author | Togher, L | |
dc.date.accessioned | 2023-09-06T04:40:00Z | |
dc.date.available | 2022-12-23 | |
dc.date.available | 2023-09-06T04:40:00Z | |
dc.date.issued | 2023-05 | |
dc.identifier.citation | Arch Phys Med Rehabil, 2023, 104, (5), pp. 824-829 | |
dc.identifier.issn | 0003-9993 | |
dc.identifier.issn | 1532-821X | |
dc.identifier.uri | http://hdl.handle.net/10453/171957 | |
dc.description.abstract | Traumatic brain injury (TBI) has been established as a priority research area for public health, affecting an estimated 69 million individuals worldwide each year. Large-scale collaborative datasets may help to better understand this heterogenous and chronic health condition. In this paper, we present TBIBank; an innovative digital health resource that aims to establish a shared database for the study of communication disorders after TBI. We provide an overview of the current database, the standard discourse protocol used for the main TBIBank corpus, and the automated language analyses that can enable diagnostic profiling, comparative evaluation of treatment effects and profiling of recovery patterns. We also highlight the e-learning component of the digital health resource as a research translation tool. We conclude with a discussion of the potential research, clinical, and educational applications of TBIBank and future directions for expanding this digital resource. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | Elsevier | |
dc.relation.ispartof | Arch Phys Med Rehabil | |
dc.relation.isbasedon | 10.1016/j.apmr.2022.12.192 | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | 1103 Clinical Sciences, 1106 Human Movement and Sports Sciences, 1117 Public Health and Health Services | |
dc.subject.classification | Rehabilitation | |
dc.subject.classification | 3202 Clinical sciences | |
dc.subject.classification | 4201 Allied health and rehabilitation science | |
dc.subject.classification | 4207 Sports science and exercise | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Brain Injuries | |
dc.subject.mesh | Brain Injuries, Traumatic | |
dc.subject.mesh | Language | |
dc.subject.mesh | Communication Disorders | |
dc.subject.mesh | Educational Status | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Brain Injuries | |
dc.subject.mesh | Communication Disorders | |
dc.subject.mesh | Language | |
dc.subject.mesh | Educational Status | |
dc.subject.mesh | Brain Injuries, Traumatic | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Brain Injuries | |
dc.subject.mesh | Brain Injuries, Traumatic | |
dc.subject.mesh | Language | |
dc.subject.mesh | Communication Disorders | |
dc.subject.mesh | Educational Status | |
dc.title | TBIBank: An International Shared Database to Enhance Research, Teaching and Automated Language Analysis for Traumatic Brain Injury Populations. | |
dc.type | Journal Article | |
utslib.citation.volume | 104 | |
utslib.location.activity | United States | |
utslib.for | 1103 Clinical Sciences | |
utslib.for | 1106 Human Movement and Sports Sciences | |
utslib.for | 1117 Public Health and Health Services | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health/Graduate School of Health | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health/Graduate School of Health/GSH.Speech Pathology | |
utslib.copyright.status | closed_access | * |
dc.date.updated | 2023-09-06T04:39:59Z | |
pubs.issue | 5 | |
pubs.publication-status | Published | |
pubs.volume | 104 | |
utslib.citation.issue | 5 |
Abstract:
Traumatic brain injury (TBI) has been established as a priority research area for public health, affecting an estimated 69 million individuals worldwide each year. Large-scale collaborative datasets may help to better understand this heterogenous and chronic health condition. In this paper, we present TBIBank; an innovative digital health resource that aims to establish a shared database for the study of communication disorders after TBI. We provide an overview of the current database, the standard discourse protocol used for the main TBIBank corpus, and the automated language analyses that can enable diagnostic profiling, comparative evaluation of treatment effects and profiling of recovery patterns. We also highlight the e-learning component of the digital health resource as a research translation tool. We conclude with a discussion of the potential research, clinical, and educational applications of TBIBank and future directions for expanding this digital resource.
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