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Robust Prediction of Non-home Discharge After Thoracolumbar Spine Surgery With Ensemble Machine Learning and Validation on a Nationwide Cohort.
Valliani, Aly A; Kim, Nora C; Martini, Michael L; Gal, Jonathan S; Neifert, Sean N; Feng, Rui; Geng, Eric A; Kim, Jun S; Cho, Samuel K; Oermann, Eric K; Caridi, John M.
Afiliação
  • Valliani AA; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA. Electronic address: aly.valliani@icahn.mssm.edu.
  • Kim NC; Department of Neurosurgery, New York University Langone Medical Center, New York, New York, USA.
  • Martini ML; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, 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.
  • Neifert SN; Department of Neurosurgery, New York University Langone Medical Center, New York, New York, USA.
  • Feng R; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Geng EA; Department of Orthopedic Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Kim JS; Department of Orthopedic Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Cho SK; Department of Orthopedic Surgery, 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; Department of Radiology, New York University Langone Medical Center, New York, New York, USA; Center for Data Science, New York University Langone Medical Center, New York, New York, USA.
  • Caridi JM; Department of Neurosurgery, University of Texas Health Science Center, Houston, Texas, USA.
World Neurosurg ; 165: e83-e91, 2022 09.
Article em En | MEDLINE | ID: mdl-35654334
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Alta do Paciente / Medicare Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans País como assunto: America do norte 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: Alta do Paciente / Medicare Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans País como assunto: America do norte Idioma: En Ano de publicação: 2022 Tipo de documento: Article