To Predict the Length of Hospital Stay After Total Knee Arthroplasty in an Orthopedic Center in China: The Use of Machine Learning Algorithms.

Han C, Liu J, Wu Y, Chong Y, Chai X, Weng X

Open source

DOI
10.3389/fsurg.2021.606038
Published
2021
Container
Frontiers in surgery
Publisher
Not recorded
Open access
yes

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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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BibTeX

@article{allodium:10.3389/fsurg.2021.606038,
  title = {To Predict the Length of Hospital Stay After Total Knee Arthroplasty in an Orthopedic Center in China: The Use of Machine Learning Algorithms.},
  author = {Han C and Liu J and Wu Y and Chong Y and Chai X and Weng X},
  year = {2021},
  journal = {Frontiers in surgery},
  doi = {10.3389/fsurg.2021.606038},
  url = {https://doi.org/10.3389/fsurg.2021.606038}
}

RIS

TY  - JOUR
TI  - To Predict the Length of Hospital Stay After Total Knee Arthroplasty in an Orthopedic Center in China: The Use of Machine Learning Algorithms.
AU  - Han C
AU  - Liu J
AU  - Wu Y
AU  - Chong Y
AU  - Chai X
AU  - Weng X
PY  - 2021
JO  - Frontiers in surgery
DO  - 10.3389/fsurg.2021.606038
UR  - https://doi.org/10.3389/fsurg.2021.606038
ER  - 

APA

C, H., J, L., Y, W., Y, C., X, C., & X, W. (2021). To Predict the Length of Hospital Stay After Total Knee Arthroplasty in an Orthopedic Center in China: The Use of Machine Learning Algorithms.. Frontiers in surgery. https://doi.org/10.3389/fsurg.2021.606038

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