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Functional assessment using 3D movement analysis can better predict health-related quality of life outcomes in patients with adult spinal deformity: a machine learning approach.
Mekhael, Elio; El Rachkidi, Rami; Saliby, Renee Maria; Nassim, Nabil; Semaan, Karl; Massaad, Abir; Karam, Mohamad; Saade, Maria; Ayoub, Elma; Rteil, Ali; Jaber, Elena; Chaaya, Celine; Abi Nahed, Julien; Ghanem, Ismat; Assi, Ayman.
Afiliação
  • Mekhael E; Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
  • El Rachkidi R; Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
  • Saliby RM; Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
  • Nassim N; Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
  • Semaan K; Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
  • Massaad A; Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
  • Karam M; Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
  • Saade M; Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
  • Ayoub E; Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
  • Rteil A; Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
  • Jaber E; Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
  • Chaaya C; Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
  • Abi Nahed J; Technology Innovation Unit, Hamad Medical Corporation, Doha, Qatar.
  • Ghanem I; Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
  • Assi A; Faculty of Medicine, Saint Joseph University of Beirut, Beirut, Lebanon.
Front Surg ; 10: 1166734, 2023.
Article em En | MEDLINE | ID: mdl-37206356
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Surg Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Líbano
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Surg Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Líbano