Cargando…
Hospital length of stay prediction for general surgery and total knee arthroplasty admissions: Systematic review and meta-analysis of published prediction models
OBJECTIVE: Systematic review of length of stay (LOS) prediction models to assess the study methods (including prediction variables), study quality, and performance of predictive models (using area under receiver operating curve (AUROC)) for general surgery populations and total knee arthroplasty (TK...
Autores principales: | Gokhale, Swapna, Taylor, David, Gill, Jaskirath, Hu, Yanan, Zeps, Nikolajs, Lequertier, Vincent, Teede, Helena, Enticott, Joanne |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240873/ https://www.ncbi.nlm.nih.gov/pubmed/37284012 http://dx.doi.org/10.1177/20552076231177497 |
Ejemplares similares
-
Hospital length of stay prediction tools for all hospital admissions and general medicine populations: systematic review and meta-analysis
por: Gokhale, Swapna, et al.
Publicado: (2023) -
Predictive model of length of stay and discharge destination in neuroscience admissions
por: Stecker, M. M., et al.
Publicado: (2017) -
Attitudes towards vaccines and intention to vaccinate against COVID-19: a cross-sectional analysis—implications for public health communications in Australia
por: Enticott, Joanne, et al.
Publicado: (2022) -
Modifiable factors influencing length of stay after total knee arthroplasty
por: Missmann, Martin, et al.
Publicado: (2022) -
To Predict the Length of Hospital Stay After Total Knee Arthroplasty in an Orthopedic Center in China: The Use of Machine Learning Algorithms
por: Han, Chang, et al.
Publicado: (2021)