Predicting 30-day readmission following total knee arthroplasty using machine learning and clinical expertise applied to clinical administrative and research registry data in an Australian cohort

BACKGROUND: Thirty-day readmission is an increasingly important problem for total knee arthroplasty (TKA) patients. The aim of this study was to develop a risk prediction model using machine learning and clinical insight for 30-day readmission in primary TKA patients. METHOD: Data used to train and...

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Detalles Bibliográficos
Autores principales: Gould, Daniel J., Bailey, James A., Spelman, Tim, Bunzli, Samantha, Dowsey, Michelle M., Choong, Peter F. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234041/
https://www.ncbi.nlm.nih.gov/pubmed/37259173
http://dx.doi.org/10.1186/s42836-023-00186-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234041/
https://www.ncbi.nlm.nih.gov/pubmed/37259173
http://dx.doi.org/10.1186/s42836-023-00186-3

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