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Evaluation of predictive models of aneurysm focal growth and bleb development using machine learning techniques.
Hadad, Sara; Mut, Fernando; Slawski, Martin; Robertson, Anne M; Cebral, Juan R.
Afiliación
  • Hadad S; Department of Bioengineering, George Mason University, Fairfax, Virginia, USA Shadad@gmu.edu.
  • Mut F; Department of Bioengineering, George Mason University, Fairfax, Virginia, USA.
  • Slawski M; Statistics Department, George Mason University, Fairfax, Virginia, USA.
  • Robertson AM; Departmnet of Mechanical enginering and Material Science, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Cebral JR; Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
J Neurointerv Surg ; 16(4): 392-397, 2024 Mar 14.
Article en En | MEDLINE | ID: mdl-37230750
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aneurisma Intracraneal / Aneurisma Roto Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Neurointerv Surg Año: 2024 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aneurisma Intracraneal / Aneurisma Roto Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Neurointerv Surg Año: 2024 Tipo del documento: Article