Machine-learning vs. logistic regression for preoperative prediction of medical morbidity after fast-track hip and knee arthroplasty—a comparative study

BACKGROUND: Machine-learning models may improve prediction of length of stay (LOS) and morbidity after surgery. However, few studies include fast-track programs, and most rely on administrative coding with limited follow-up and information on perioperative care. This study investigates potential ben...

Descripción completa

Detalles Bibliográficos
Autores principales: Michelsen, Christian, Jørgensen, Christoffer C., Heltberg, Mathias, Jensen, Mogens H., Lucchetti, Alessandra, Petersen, Pelle B., Petersen, Troels, Kehlet, Henrik, Madsen, Frank, Hansen, Torben B., Gromov, Kirill, Jakobsen, Thomas, Varnum, Claus, Overgaard, Soren, Rathsach, Mikkel, Hansen, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685559/
https://www.ncbi.nlm.nih.gov/pubmed/38030979
http://dx.doi.org/10.1186/s12871-023-02354-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685559/
https://www.ncbi.nlm.nih.gov/pubmed/38030979
http://dx.doi.org/10.1186/s12871-023-02354-z

Ejemplares similares