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Accounting for age in prediction of discharge destination following elective lumbar fusion: a supervised machine learning approach

  • Andrew Cabrera
  • , Alexander Bouterse
  • , Michael Nelson
  • , Jacob Razzouk
  • , Omar Ramos
  • , Christopher M. Bono
  • , Wayne Cheng
  • , Olumide Danisa

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)997-1006
Number of pages10
JournalSpine Journal
Volume23
Issue number7
DOIs
StatePublished - Jul 2023

ASJC Scopus Subject Areas

  • Surgery
  • Orthopedics and Sports Medicine
  • Clinical Neurology

Keywords

  • ACS-NSQIP
  • Age
  • Discharge disposition
  • Lumbar fusion
  • Machine learning
  • Predictive variables
  • Humans
  • Risk Factors
  • Patient Discharge
  • Infant
  • Insulins
  • Diabetes Mellitus, Type 1/complications
  • Postoperative Complications/epidemiology
  • Adult
  • Female
  • Spinal Fusion/adverse effects
  • Retrospective Studies
  • Supervised Machine Learning

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