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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...
Autores principales: | Entezari, Bahar, Koucheki, Robert, Abbas, Aazad, Toor, Jay, Wolfstadt, Jesse I., Ravi, Bheeshma, Whyne, Cari, Lex, Johnathan R. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
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 |
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