Evaluation of the Predictors for Unfavorable Clinical Outcomes of Degenerative Lumbar Spondylolisthesis After Lumbar Interbody Fusion Using Machine Learning

Evaluation of the Predictors for Unfavorable Clinical Outcomes of Degenerative Lumbar Spondylolisthesis After Lumbar Interbody Fusion Using Machine Learning

BackgroundAn increasing number of geriatric patients are suffering from degenerative lumbar spondylolisthesis (DLS) and need a lumbar interbody fusion (LIF) operation to alleviate the symptoms. Our study was performed aiming to determine the predictors that contributed to unfavorable clinical effica...

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Bibliographic Details
Main Authors: Shengtao Dong, Yinghui Zhu, Hua Yang, Ningyu Tang, Guangyi Huang, Jie Li, Kang Tian
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Public Health
Subjects:
degenerative lumbar spondylolisthesis
clinical outcome
machine learning
predictor
lumbar interbody fusion
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.835938/full

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