Improving Resource Utilization for Arthroplasty Care by Leveraging Machine Learning and Optimization: A Systematic Review

BACKGROUND: There is a growing demand for total joint arthroplasty (TJA) surgery. The applications of machine learning (ML), mathematical optimization, and computer simulation have the potential to improve efficiency of TJA care delivery through outcome prediction and surgical scheduling optimizatio...

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Detalles Bibliográficos
Autores principales: Entezari, Bahar, Koucheki, Robert, Abbas, Aazad, Toor, Jay, Wolfstadt, Jesse I., Ravi, Bheeshma, Whyne, Cari, Lex, Johnathan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Systematic Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014272/
https://www.ncbi.nlm.nih.gov/pubmed/36938350
http://dx.doi.org/10.1016/j.artd.2023.101116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014272/
https://www.ncbi.nlm.nih.gov/pubmed/36938350
http://dx.doi.org/10.1016/j.artd.2023.101116

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