Accounting for age in prediction of discharge destination following elective lumbar fusion: a supervised machine learning approach.

Cabrera, Andrew; Bouterse, Alexander; Nelson, Michael; Razzouk, Jacob; Ramos, Omar; Bono, Christopher M; Cheng, Wayne; Danisa, Olumide

Cabrera, Andrew; Bouterse, Alexander; Nelson, Michael; Razzouk, Jacob; Ramos, Omar; Bono, Christopher M; Cheng, Wayne; Danisa, Olumide.

Affiliation

Cabrera A; School of Medicine, Loma Linda University, Loma Linda, CA, 92354, USA.
Bouterse A; School of Medicine, Loma Linda University, Loma Linda, CA, 92354, USA.
Nelson M; School of Medicine, Loma Linda University, Loma Linda, CA, 92354, USA.
Razzouk J; School of Medicine, Loma Linda University, Loma Linda, CA, 92354, USA.
Ramos O; Orthopaedic Surgery, Twin Cities Spine Center, MN 55404, USA.
Bono CM; Department of Orthopedics, Harvard Medical School, Massachusetts General Hospital, Boston, MA, 02114, USA.
Cheng W; Division of Orthopaedic Surgery, Jerry L. Pettis VA Medical Center, Loma Linda, CA 92354 , USA.
Danisa O; Department of Orthopedics, Loma Linda University, Loma Linda, CA, 92354, USA. Electronic address: odanisa@llu.edu.

Spine J ; 23(7): 997-1006, 2023 07.

Article de En | MEDLINE | ID: mdl-37028603

Sujet(s)
Mots clés

ACS-NSQIP; Age; Discharge disposition; Lumbar fusion; Machine learning; Predictive variables

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Arthrodèse vertébrale / Diabète de type 1 / Insulines Type d'étude: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limites: Adult / Female / Humans / Infant Langue: En Journal: Spine J Sujet du journal: ORTOPEDIA Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique

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