Data mining to understand health status preceding traumatic brain injury

Abstract 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 heal...

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Autores principales:	Tatyana Mollayeva, Mitchell Sutton, Vincy Chan, Angela Colantonio, Sayantee Jana, Michael Escobar
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3cf1bdff4af24adea7ed1440f25e70d6
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spelling	oai:doaj.org-article:3cf1bdff4af24adea7ed1440f25e70d62021-12-02T15:09:20ZData mining to understand health status preceding traumatic brain injury10.1038/s41598-019-41916-52045-2322https://doaj.org/article/3cf1bdff4af24adea7ed1440f25e70d62019-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-41916-5https://doaj.org/toc/2045-2322Abstract 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.Tatyana MollayevaMitchell SuttonVincy ChanAngela ColantonioSayantee JanaMichael EscobarNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tatyana Mollayeva Mitchell Sutton Vincy Chan Angela Colantonio Sayantee Jana Michael Escobar Data mining to understand health status preceding traumatic brain injury
description	Abstract 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.
format	article
author	Tatyana Mollayeva Mitchell Sutton Vincy Chan Angela Colantonio Sayantee Jana Michael Escobar
author_facet	Tatyana Mollayeva Mitchell Sutton Vincy Chan Angela Colantonio Sayantee Jana Michael Escobar
author_sort	Tatyana Mollayeva
title	Data mining to understand health status preceding traumatic brain injury
title_short	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_sort	data mining to understand health status preceding traumatic brain injury
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/3cf1bdff4af24adea7ed1440f25e70d6
work_keys_str_mv	AT tatyanamollayeva dataminingtounderstandhealthstatusprecedingtraumaticbraininjury AT mitchellsutton dataminingtounderstandhealthstatusprecedingtraumaticbraininjury AT vincychan dataminingtounderstandhealthstatusprecedingtraumaticbraininjury AT angelacolantonio dataminingtounderstandhealthstatusprecedingtraumaticbraininjury AT sayanteejana dataminingtounderstandhealthstatusprecedingtraumaticbraininjury AT michaelescobar dataminingtounderstandhealthstatusprecedingtraumaticbraininjury
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Data mining to understand health status preceding traumatic brain injury

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