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Machine-learning-based head impact subtyping based on the spectral densities of the measurable head kinematics.
Zhan, Xianghao; Li, Yiheng; Liu, Yuzhe; Cecchi, Nicholas J; Raymond, Samuel J; Zhou, Zhou; Vahid Alizadeh, Hossein; Ruan, Jesse; Barbat, Saeed; Tiernan, Stephen; Gevaert, Olivier; Zeineh, Michael M; Grant, Gerald A; Camarillo, David B.
Afiliación
  • Zhan X; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
  • Li Y; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.
  • Liu Y; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA. Electronic address: yuzheliu@buaa.edu.cn.
  • Cecchi NJ; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
  • Raymond SJ; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
  • Zhou Z; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
  • Vahid Alizadeh H; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
  • Ruan J; Ford Motor Company, 3001 Miller Rd, Dearborn, MI 48120, USA.
  • Barbat S; Ford Motor Company, 3001 Miller Rd, Dearborn, MI 48120, USA.
  • Tiernan S; Technological University Dublin, Dublin, D07 EWV4, Ireland.
  • Gevaert O; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.
  • Zeineh MM; Department of Radiology, Stanford University, Stanford, CA 94305, USA.
  • Grant GA; Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA.
  • Camarillo DB; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
J Sport Health Sci ; 12(5): 619-629, 2023 09.
Article en En | MEDLINE | ID: mdl-36921692
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Automático / Lesiones Traumáticas del Encéfalo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Sport Health Sci Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Automático / Lesiones Traumáticas del Encéfalo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Sport Health Sci Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos