Other Titles
Promoting clinical outcomes
Abstract
Retrospective research utilizing big data sets is essential as we collect and examine data across the globe. However, inconsistencies are noted when classifying data such as the case of traumatic brain injury classification. This project examined inconsistencies in classification when working with big data sets and retrospective data.
Sigma Membership
Unknown
Lead Author Affiliation
Marymount University, Arlington, Virginia, USA
Type
Presentation
Format Type
Text-based Document
Study Design/Type
N/A
Research Approach
N/A
Keywords:
Big Data, Injury Classification, Traumatic Brain Injury
Recommended Citation
Rogers, Sandra, "Classification of traumatic brain injury severity complexities in retrospective data" (2018). INRC (Congress). 249.
https://www.sigmarepository.org/inrc/2018/presentations_2018/249
Conference Name
29th International Nursing Research Congress
Conference Host
Sigma Theta Tau International
Conference Location
Melbourne, Australia
Conference Year
2018
Rights Holder
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All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Acquisition
Proxy-submission
Classification of traumatic brain injury severity complexities in retrospective data
Melbourne, Australia
Retrospective research utilizing big data sets is essential as we collect and examine data across the globe. However, inconsistencies are noted when classifying data such as the case of traumatic brain injury classification. This project examined inconsistencies in classification when working with big data sets and retrospective data.