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Data mining to understand health status preceding traumatic brain injury

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 admini...

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Autores principales: Mollayeva, Tatyana, Sutton, Mitchell, Chan, Vincy, Colantonio, Angela, Jana, Sayantee, Escobar, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447542/
https://www.ncbi.nlm.nih.gov/pubmed/30944376
http://dx.doi.org/10.1038/s41598-019-41916-5
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author Mollayeva, Tatyana
Sutton, Mitchell
Chan, Vincy
Colantonio, Angela
Jana, Sayantee
Escobar, Michael
author_facet Mollayeva, Tatyana
Sutton, Mitchell
Chan, Vincy
Colantonio, Angela
Jana, Sayantee
Escobar, Michael
author_sort Mollayeva, Tatyana
collection PubMed
description 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.
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spelling pubmed-64475422019-04-10 Data mining to understand health status preceding traumatic brain injury Mollayeva, Tatyana Sutton, Mitchell Chan, Vincy Colantonio, Angela Jana, Sayantee Escobar, Michael Sci Rep Article 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. Nature Publishing Group UK 2019-04-03 /pmc/articles/PMC6447542/ /pubmed/30944376 http://dx.doi.org/10.1038/s41598-019-41916-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Mollayeva, Tatyana
Sutton, Mitchell
Chan, Vincy
Colantonio, Angela
Jana, Sayantee
Escobar, Michael
Data mining to understand health status preceding traumatic brain injury
title Data mining to understand health status preceding traumatic brain injury
title_full Data mining to understand health status preceding traumatic brain injury
title_fullStr Data mining to understand health status preceding traumatic brain injury
title_full_unstemmed Data mining to understand health status preceding traumatic brain injury
title_short Data mining to understand health status preceding traumatic brain injury
title_sort data mining to understand health status preceding traumatic brain injury
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6447542/
https://www.ncbi.nlm.nih.gov/pubmed/30944376
http://dx.doi.org/10.1038/s41598-019-41916-5
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