Reliable Prediction of Discharge Disposition Following Cervical Spine Surgery With Ensemble Machine Learning and Validation on a National Cohort.

Feng, Rui; Valliani, Aly A; Martini, Michael L; Gal, Jonathan S; Neifert, Sean N; Kim, Nora C; Geng, Eric A; Kim, Jun S; Cho, Samuel K; Oermann, Eric K; Caridi, John M

Feng, Rui; Valliani, Aly A; Martini, Michael L; Gal, Jonathan S; Neifert, Sean N; Kim, Nora C; Geng, Eric A; Kim, Jun S; Cho, Samuel K; Oermann, Eric K; Caridi, John M.

Affiliation

Feng R; Departments of Neurosurgery.
Valliani AA; Departments of Neurosurgery.
Martini ML; Departments of Neurosurgery.
Gal JS; Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai.
Neifert SN; Department of Neurosurgery, New York University Langone Medical Center.
Kim NC; Department of Neurosurgery, New York University Langone Medical Center.
Geng EA; Department of Orthopedic Surgery, Icahn School of Medicine at Mount Sinai.
Kim JS; Department of Orthopedic Surgery, Icahn School of Medicine at Mount Sinai.
Cho SK; Department of Orthopedic Surgery, Icahn School of Medicine at Mount Sinai.
Oermann EK; Department of Neurosurgery, New York University Langone Medical Center.
Caridi JM; Department of Radiology, New York University Langone Medical Center.

Clin Spine Surg ; 37(1): E30-E36, 2024 02 01.

Article in En | MEDLINE | ID: mdl-38285429

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Patient Discharge / Medicare Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Humans Country/Region as subject: America do norte Language: En Journal: Clin Spine Surg Year: 2024 Document type: Article Country of publication: Estados Unidos

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