Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics

dc.contributor.author

Zhan, Xianghao

dc.contributor.author

Li, Yiheng

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Liu, Yuzhe

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Cecchi, Nicholas J

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Raymond, Samuel J

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Zhou, Zhou

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Vahid Alizadeh, Hossein

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Ruan, Jesse

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Barbat, Saeed

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Tiernan, Stephen

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Gevaert, Olivier

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Zeineh, Michael M

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Grant, Gerald A

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Camarillo, David B

dc.date.accessioned

2023-04-10T19:50:45Z

dc.date.available

2023-04-10T19:50:45Z

dc.date.issued

2023-03

dc.date.updated

2023-04-10T19:50:44Z

dc.identifier.issn

2095-2546

dc.identifier.uri

https://hdl.handle.net/10161/27035

dc.language

en

dc.publisher

Elsevier BV

dc.relation.ispartof

Journal of Sport and Health Science

dc.relation.isversionof

10.1016/j.jshs.2023.03.003

dc.title

Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics

dc.type

Journal article

duke.contributor.orcid

Grant, Gerald A|0000-0002-2651-4603

pubs.organisational-group

Duke

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School of Medicine

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Basic Science Departments

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Clinical Science Departments

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Institutes and Centers

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Neurobiology

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Duke Cancer Institute

pubs.organisational-group

Neurosurgery

pubs.publication-status

Published

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