Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Epidemiology of primary and revision total knee arthroplasty: analysis of demographics, comorbidities and outcomes from the national inpatient sample
por: Nham, Fong H., et al.
Publicado: (2023) -
Epidemiology of total hip arthroplasty: demographics, comorbidities and outcomes
por: Patel, Ishan, et al.
Publicado: (2023) -
Cannabis use disorder is associated with shorter length of stay and increased home discharge after primary total joint arthroplasty: a propensity-weighted analysis
por: Rahmon, Dalia, et al.
Publicado: (2023) -
Epidemiology of Obese Patients Undergoing Revision Total Knee Arthroplasty: Understanding Demographics, Comorbidities, and Propensity Weighted Analysis of Inpatient Outcomes
por: Hussein, Inaya Hajj, et al.
Publicado: (2022) -
The Impact of Morbid Obesity on In-hospital Outcomes after Revision Total Hip Arthroplasty: An Analysis of the National Inpatient Sample
por: Hussein, Inaya Hajj, et al.
Publicado: (2022)