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Machine learning clustering of adult spinal deformity patients identifies four prognostic phenotypes: a multicenter prospective cohort analysis with single surgeon external validation

Sarthak Mohanty, Fthimnir M. Hassan, Lawrence G. Lenke, Erik Lewerenz, Peter G. Passias, Eric O. Klineberg, Virginie Lafage, Justin S. Smith, D. Kojo Hamilton, Jeffrey L. Gum, Renaud Lafage, Jeffrey P. Mullin, Bassel G. Diebo, Thomas J. Buell, Han Jo Kim, Khalid Kebaish, Robert K. Eastlack, Alan H. Daniels, Gregory M. Mundis, Richard A. Hostin, Themistocles S. Protopsaltis, Robert A. Hart, Munish C. Gupta, Frank J. Schwab, Christopher I. Shaffrey, Christopher P. Ames, Douglas C. Burton, Shay Bess

2024The Spine Journal21 citationsDOI

Topics & Concepts

MedicineProspective cohort studyCohortRetrospective cohort studyCohort studySingle CenterMachine learningSurgeryInternal medicineComputer scienceScoliosis diagnosis and treatmentSpine and Intervertebral Disc PathologyCervical and Thoracic Myelopathy
Machine learning clustering of adult spinal deformity patients identifies four prognostic phenotypes: a multicenter prospective cohort analysis with single surgeon external validation | Litcius