Utilization of machine learning methods for predicting surgical outcomes after total knee arthroplasty

BACKGROUND: Predictive models could help clinicians identify risk factors that cause adverse events after total knee arthroplasty (TKA), allowing for appropriate preoperative preventive interventions and allocation of resources. METHODS: The National Inpatient Sample datasets from 2010–2014 were use...

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Detalles Bibliográficos
Autores principales: Mohammed, Hina, Huang, Yihe, Memtsoudis, Stavros, Parks, Michael, Huang, Yuxiao, Ma, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939835/
https://www.ncbi.nlm.nih.gov/pubmed/35316270
http://dx.doi.org/10.1371/journal.pone.0263897

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8939835/
https://www.ncbi.nlm.nih.gov/pubmed/35316270
http://dx.doi.org/10.1371/journal.pone.0263897

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