A Machine Learning Algorithm Outperforms Traditional Multiple Regression to Predict Risk of Unplanned Overnight Stay Following Outpatient Medial Patellofemoral Ligament Reconstruction

PURPOSE: To determine whether conventional logistic regression or machine learning algorithms were more precise in identifying the risk factors for unplanned overnight admission after medial patellofemoral ligament (MPFL) reconstruction. METHODS: A retrospective review of the prospectively collected...

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Detalles Bibliográficos
Autores principales: Ezuma, Chimere O., Lu, Yining, Pareek, Ayoosh, Wilbur, Ryan, Krych, Aaron J., Forsythe, Brian, Camp, Christopher L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210490/
https://www.ncbi.nlm.nih.gov/pubmed/35747652
http://dx.doi.org/10.1016/j.asmr.2022.03.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210490/
https://www.ncbi.nlm.nih.gov/pubmed/35747652
http://dx.doi.org/10.1016/j.asmr.2022.03.009

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