Prediction of primary admission total charges following cervical disc arthroplasty utilizing machine learning.

Journal: The spine journal : official journal of the North American Spine Society
PMID: 39332690

Abstract

BACKGROUND CONTEXT: Cervical disc arthroplasty (CDA) has become an increasingly popular alternative to anterior cervical discectomy and fusion, offering benefits such as motion preservation and reduced risk of adjacent segment disease. Despite its advantages, understanding the economic implications associated with varying patient and hospital factors remains critical.

Authors

  • Paul G Mastrokostas
    From the Department of Orthopaedic Surgery, SUNY Downstate Health Sciences University, Brooklyn, NY (Mastrokostas, Lavi, Zhang, Mastrokostas, Liu, Connors, and Hashem), and the Department of Orthopaedic Surgery, Warren Alpert Medical School of Brown University, Providence, RI (Connors).
  • Leonidas E Mastrokostas
  • Ahmed K Emara
    Department of Orthopaedic Surgery, Cleveland Clinic Foundation, Cleveland, Ohio.
  • Ian J Wellington
    Department of Orthopaedic Surgery, University of Connecticut, Hartford, CT, USA.
  • Brian T Ford
    Department of Orthopaedic Surgery, University of Connecticut, Hartford, CT, USA.
  • Abigail Razi
    Department of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, NY, USA.
  • John K Houten
    Department of Neurosurgery, Mount Sinai School of Medicine, New York, NY, USA.
  • Ahmed Saleh
    Department of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, NY, USA.
  • Jad Bou Monsef
    Department of Orthopaedic Surgery, SUNY Downstate Health Sciences University, Brooklyn, NY, USA; Department of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, NY, USA.
  • Afshin E Razi
    Department of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, NY, USA.
  • Mitchell K Ng
    Department of Orthopaedic Surgery, Maimonides Medical Center, Brooklyn, NY, USA.

Keywords

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