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Pragmatic Prediction of Excessive Length of Stay After Cervical Spine Surgery With Machine Learning and Validation on a National Scale.
Valliani, Aly A; Feng, Rui; Martini, Michael L; Neifert, Sean N; Kim, Nora C; Gal, Jonathan S; Oermann, Eric K; Caridi, John M.
Afiliação
  • Valliani AA; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Feng R; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Martini ML; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Neifert SN; Department of Neurosurgery, New York University Langone Medical Center, New York, New York, USA.
  • Kim NC; Department of Neurosurgery, New York University Langone Medical Center, New York, New York, USA.
  • Gal JS; Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Oermann EK; Department of Neurosurgery, New York University Langone Medical Center, New York, New York, USA.
  • Caridi JM; Department of Radiology, New York University Langone Medical Center, New York, New York, USA.
Neurosurgery ; 91(2): 322-330, 2022 08 01.
Article em En | MEDLINE | ID: mdl-35834322
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fusão Vertebral / Aprendizado de Máquina Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fusão Vertebral / Aprendizado de Máquina Idioma: En Ano de publicação: 2022 Tipo de documento: Article