Machine Learning Model Identifies Increased Operative Time and Greater BMI as Predictors for Overnight Admission After Outpatient Hip Arthroscopy

PURPOSE: The purposes of this study were to identify patient characteristics and risk factors for overnight admission following outpatient hip arthroscopy and to develop a machine learning algorithm that can effectively identify patients requiring admission following elective hip arthroscopy. METHOD...

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Detalles Bibliográficos
Autores principales: Song, Bryant M., Lu, Yining, Wilbur, Ryan R., Lavoie-Gagne, Ophelie, Pareek, Ayoosh, Forsythe, Brian, Krych, Aaron J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8689272/
https://www.ncbi.nlm.nih.gov/pubmed/34977657
http://dx.doi.org/10.1016/j.asmr.2021.10.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8689272/
https://www.ncbi.nlm.nih.gov/pubmed/34977657
http://dx.doi.org/10.1016/j.asmr.2021.10.001

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