Your browser doesn't support javascript.
loading
Can we explain machine learning-based prediction for rupture status assessments of intracranial aneurysms?
Mu, N; Rezaeitaleshmahalleh, M; Lyu, Z; Wang, M; Tang, J; Strother, C M; Gemmete, J J; Pandey, A S; Jiang, J.
Afiliación
  • Mu N; Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America.
  • Rezaeitaleshmahalleh M; Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America.
  • Lyu Z; Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America.
  • Wang M; Department of Management Science and Statistics, The University of Texas at San Antonio, San Antonino, TX, United States of America.
  • Tang J; Department of Health Administration and Policy, George Mason University, Fairfax, VA, United States of America.
  • Strother CM; Department of Radiology, University of Wisconsin, Madison, WI, United States of America.
  • Gemmete JJ; Department of Radiology, University of Michigan, Ann Arbor, MI, United States of America.
  • Pandey AS; Department of Neurosurgery, University of Michigan, Ann Arbor, MI, United States of America.
  • Jiang J; Biomedical Engineering, Michigan Technological University, Houghton, MI, United States of America.
Biomed Phys Eng Express ; 9(3)2023 03 10.
Article en En | MEDLINE | ID: mdl-36626819
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aneurisma Intracraneal Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Biomed Phys Eng Express Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aneurisma Intracraneal Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Biomed Phys Eng Express Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos