Machine Learning Prediction of Length of Stay in Adult Spinal Deformity Patients Undergoing Posterior Spine Fusion Surgery

Machine Learning Prediction of Length of Stay in Adult Spinal Deformity Patients Undergoing Posterior Spine Fusion Surgery

(1) Background: Length of stay (LOS) is a commonly reported metric used to assess surgical success, patient outcomes, and economic impact. The focus of this study is to use a variety of machine learning algorithms to reliably predict whether a patient undergoing posterior spinal fusion surgery treat...

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Bibliographic Details
Main Authors: Andrew S Zhang, Ashwin Veeramani, Matthew S. Quinn, Daniel Alsoof, Eren O. Kuris, Alan H. Daniels
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Journal of Clinical Medicine
Subjects:
machine learning
length of stay
adult spinal deformity
posterior spine fusion surgery
Online Access:https://www.mdpi.com/2077-0383/10/18/4074

Internet

https://www.mdpi.com/2077-0383/10/18/4074

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