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Machine learning-driven identification of novel patient factors for prediction of major complications after posterior cervical spinal fusion.
Shah, Akash A; Devana, Sai K; Lee, Changhee; Bugarin, Amador; Lord, Elizabeth L; Shamie, Arya N; Park, Don Y; van der Schaar, Mihaela; SooHoo, Nelson F.
Affiliation
  • Shah AA; Department of Orthopaedic Surgery, David Geffen School of Medicine at UCLA, Los Angeles, 90095, USA. aashah@mednet.ucla.edu.
  • Devana SK; Department of Orthopaedic Surgery, David Geffen School of Medicine at UCLA, Los Angeles, 90095, USA.
  • Lee C; Department of Electrical and Computer Engineering, University of California, Los Angeles, CA, USA.
  • Bugarin A; Department of Orthopaedic Surgery, David Geffen School of Medicine at UCLA, Los Angeles, 90095, USA.
  • Lord EL; Department of Orthopaedic Surgery, David Geffen School of Medicine at UCLA, Los Angeles, 90095, USA.
  • Shamie AN; Department of Orthopaedic Surgery, David Geffen School of Medicine at UCLA, Los Angeles, 90095, USA.
  • Park DY; Department of Orthopaedic Surgery, David Geffen School of Medicine at UCLA, Los Angeles, 90095, USA.
  • van der Schaar M; Department of Electrical and Computer Engineering, University of California, Los Angeles, CA, USA.
  • SooHoo NF; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.
Eur Spine J ; 31(8): 1952-1959, 2022 08.
Article in En | MEDLINE | ID: mdl-34392418

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spinal Diseases / Spinal Fusion Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Humans Language: En Journal: Eur Spine J Journal subject: ORTOPEDIA Year: 2022 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spinal Diseases / Spinal Fusion Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Humans Language: En Journal: Eur Spine J Journal subject: ORTOPEDIA Year: 2022 Document type: Article Affiliation country: