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

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

Background and Objectives: Total knee arthroplasty (TKA) is widely performed to improve mobility and quality of life for symptomatic knee osteoarthritis patients. The accurate prediction of patients' length of hospital stay (LOS) can help clinicians for rehabilitation decision-making and bed as...

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Bibliographic Details
Main Authors: Chang Han, Jianghao Liu, Yijun Wu, Yuming Chong, Xiran Chai, Xisheng Weng
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Surgery
Subjects:
machine learning
predictive model
cross-validation
hospital stay
total knee arthroplasty
Online Access:https://www.frontiersin.org/articles/10.3389/fsurg.2021.606038/full

Internet

https://www.frontiersin.org/articles/10.3389/fsurg.2021.606038/full

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