Predicting surgical operative time in primary total knee arthroplasty utilizing machine learning models-Reference-Cited by-同舟云学术

Predicting surgical operative time in primary total knee arthroplasty utilizing machine learning models

Published:2022-08-22 Issue: Volume: Page:
ISSN:1434-3916
Container-title:Archives of Orthopaedic and Trauma Surgery
language:en
Short-container-title:Arch Orthop Trauma Surg

Author:

Yeo Ingwon,Klemt Christian,Melnic Christopher M.,Pattavina Meghan H.,De Oliveira Bruna M. Castro,Kwon Young-Min

Publisher

Springer Science and Business Media LLC

Subject

Orthopedics and Sports Medicine,General Medicine,Surgery,Surgery

Link

https://link.springer.com/content/pdf/10.1007/s00402-022-04588-x.pdf

Reference49 articles.

1. Halawi MJ, Molloy R, Barsoum WK (2016) Maximizing efficiency in the operating room for total joint artroplasty. Am J Orthop (Belle Mead NJ) 45:E233–E235

2. Attarian DE, Wahl JE, Wellman SS, Bolognesi MP (2013) Developing a high-efficiency operating room for total joint arthroplasty in an academic setting. Clin Orthop Relat Res 471:1832–1836. https://doi.org/10.1007/s11999-012-2718-4

3. Oganesyan R, Klemt C, Esposito J et al (2021) Knee arthroscopy prior to revision TKA Is associated with increased re-revision for stiffness. J Knee Surg. https://doi.org/10.1055/s-0040-1722662

4. Dexter F, Epstein RH (2005) Operating room efficiency and scheduling. Curr Opin Anesthesiol 18:195

5. Master N, Zhou Z, Miller D et al (2017) Improving predictions of pediatric surgical durations with supervised learning. Int J Data Sci Anal 4:35–52. https://doi.org/10.1007/s41060-017-0055-0

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