Examining the Ability of Artificial Neural Networks Machine Learning Models to Accurately Predict Complications Following Posterior Lumbar Spine Fusion.

Abstract

Authors

• Jun S Kim
  Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
• Robert K Merrill
  Department of Orthopedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY.
• Varun Arvind
  Icahn School of Medicine at Mount Sinai, New York, NY, USA.
• Deepak Kaji
  Icahn School of Medicine at Mount Sinai, New York, NY, USA.
• Sara D Pasik
  Department of Orthopedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY.
• Chuma C Nwachukwu
  Department of Orthopedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY.
• Luilly Vargas
  Department of Orthopedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY.
• Nebiyu S Osman
  Department of Orthopedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY.
• Eric K Oermann
  Icahn School of Medicine at Mount Sinai, New York, NY, USA.
• John M Caridi
  Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY.
• Samuel K Cho
  Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Keywords

External Resources