Data mining to understand health status preceding traumatic brain injury.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
03 04 2019
03 04 2019
Historique:
received:
19
12
2018
accepted:
19
03
2019
entrez:
5
4
2019
pubmed:
5
4
2019
medline:
7
10
2020
Statut:
epublish
Résumé
The use of precision medicine is poised to increase in complex injuries such as traumatic brain injury (TBI), whose multifaceted comorbidities and personal circumstances create significant challenges in the domains of surveillance, management, and environmental mapping. Population-wide health administrative data remains a rather unexplored, but accessible data source for identifying clinical associations and environmental patterns that could lead to a better understanding of TBIs. However, the amount of data structured and coded by the International Classification of Disease poses a challenge to its successful interpretation. The emerging field of data mining can be instrumental in helping to meet the daunting challenges faced by the TBI community. The report outlines novel areas for data mining relevant to TBI, and offers insight into how the above approach can be applied to solve pressing healthcare problems. Future work should focus on confirmatory analyses, which subsequently can guide precision medicine and preventive frameworks.
Identifiants
pubmed: 30944376
doi: 10.1038/s41598-019-41916-5
pii: 10.1038/s41598-019-41916-5
pmc: PMC6447542
doi:
Types de publication
Journal Article
Observational Study
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
5574Subventions
Organisme : NICHD NIH HHS
ID : R21 HD089106
Pays : United States
Organisme : CIHR
Pays : Canada
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