Improved performance of machine learning models in predicting length of stay, discharge disposition, and inpatient mortality after total knee arthroplasty using patient-specific variables

BACKGROUND: This study aimed to compare the performance of ten predictive models using different machine learning (ML) algorithms and compare the performance of models developed using patient-specific vs. situational variables in predicting select outcomes after primary TKA. METHODS: Data from 2016...

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Detalles Bibliográficos
Autores principales: Zalikha, Abdul K., Court, Tannor, Nham, Fong, El-Othmani, Mouhanad M., Shah, Roshan P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315023/
https://www.ncbi.nlm.nih.gov/pubmed/37393281
http://dx.doi.org/10.1186/s42836-023-00187-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315023/
https://www.ncbi.nlm.nih.gov/pubmed/37393281
http://dx.doi.org/10.1186/s42836-023-00187-2

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